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2.
BMC Health Serv Res ; 22(1): 1007, 2022 Aug 06.
Artigo em Inglês | MEDLINE | ID: mdl-35933387

RESUMO

BACKGROUND: BRCA1/2 alterations increase females' lifetime breast cancer risk to 40 - 90%, ovarian cancer to 10 - 60%, and males' lifetime prostate cancer risk to ~ 10 - 25%. Psychosocial issues such as heightened distress can, therefore, occur in this population. This study aimed to explore the subjective experiences and needs of the BRCA1/2 alteration population in navigating cancer risk reduction measures. METHOD: This study aimed to explore the experiences and identify the needs of 18 BRCA1/2 alteration carriers, recruited through strategic sampling. A public and patient panel (N = 6) collaborated on study development. Data were analysed using reflexive thematic analysis. RESULTS: Two themes were identified: (i) Healthcare Services as a Burden to Navigate, and (ii) Burden Experienced Through Interactions with Healthcare Professionals. Results indicated uncertainty regarding care pathways, alongside a lack of relevant information. Participants felt unsupported by healthcare professionals, and as though healthcare professionals often perceive them as a burden. CONCLUSIONS: These findings suggest that the quality of interactions in healthcare systems are of relevance to the BRCA1/2 alteration population, and that uncertainty surrounding access to services and information is prevalent. The establishment of specialist hereditary cancer clinics could reduce such burden.


Assuntos
Neoplasias da Mama , Neoplasias Ovarianas , Proteína BRCA1/genética , Neoplasias da Mama/genética , Feminino , Genes BRCA1 , Humanos , Masculino , Neoplasias Ovarianas/genética , Neoplasias Ovarianas/prevenção & controle , Incerteza
3.
PLoS One ; 17(8): e0272448, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35939491

RESUMO

Modular construction is considered as a preferred construction method over conventional construction due to a number of benefits including reduction in project completion time, improved environmental performance, better quality, enhanced workers' safety and flexibility. However, successful implementation of modular construction is hindered by various risk factors and uncertainties. Therefore, it is imperative to perform a comprehensive risk assessment of critical risk factors that pose a negative impact on the implementation of modular construction. Moreover, there is also a relatively less rate of modular construction adoption in developing countries, highlighting the need to focus more on underdeveloped regions. This study aims to propose a risk assessment framework for identification, evaluation and prioritization of critical risk factors affecting the implementation of modular construction in Pakistan. 20 risk factors were identified from previous literature which were then evaluated to shortlist the most significant risks using Fuzzy Delphi. The most significant risk factors were then prioritized using a novel Full-Consistency Method (FUCOM). The results specified 'Inadequate skills and experience in modular construction', 'Inadequate capacity of modular manufacturers' and 'Inability to make changes in design during the construction stage' as top three critical risks in the implementation of modular construction. This is the first study to propose a risk assessment framework for modular construction in Pakistan. The results of the study are useful to provide insights to construction industry practitioners in highlighting and eliminating risks involved in modular construction planning and execution.


Assuntos
Indústria da Construção , Saúde do Trabalhador , Humanos , Medição de Risco , Fatores de Risco , Incerteza
4.
BMJ Glob Health ; 7(8)2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-35940628

RESUMO

The COVID-19 pandemic put healthcare systems, hospitals and medical personal under great pressure. Based on observations in Germany, we theorise a general model of rapid decision-making that makes sense of the growing complexity, risks and impact of missing evidence. While adapting decision-making algorithms, management, physicians, nurses and other healthcare professionals had to move into uncharted territory while addressing practical challenges and resolving normative (legal and ethical) conflicts. During the pandemic, this resulted in decisional uncertainties for healthcare professionals. We propose an idealised risk-based model that anticipates these shifts in decision-making procedures and underlying value frameworks. The double pyramid model visualises foreseeable procedural adaptations. This does not only help practitioners to secure operational continuity in a crisis but also contributes to improving the conceptual underpinnings of the resilience of healthcare during the next pandemic or similar future crises situations.


Assuntos
COVID-19 , Atenção à Saúde , Pessoal de Saúde , Humanos , Pandemias , Incerteza
5.
BMC Infect Dis ; 22(1): 681, 2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35941563

RESUMO

BACKGROUND: RSV-incidence estimates obtained from routinely-collected healthcare data (e.g., MarketScan) are commonly adjusted for under-reporting using test positivity reported in national Surveillance Systems (NREVSS). However, NREVSS lacks detail on patient-level characteristics and the validity of applying a single positivity estimate across diverse patient groups is uncertain. We aimed to describe testing practices and test positivity across subgroups of private health insurance enrollees in the US and illustrate the possible magnitude of misclassification when using NREVSS to correct for RSV under ascertainment. METHODS: Using billing records, we determined distributions of RSV-test claims and test positivity among a national sample of private insurance enrollees. Tests were considered positive if they coincided with an RSV-diagnosis. We illustrated the influence of positivity variation across sub-populations when accounting for untested acute respiratory infections. RESULTS: Most tests were for children (age 0-4: 65.8%) and outpatient encounters (78.3%). Test positivity varied across age (0-4: 19.8%, 5-17: 1.8%, adults: 0.7%), regions (7.6-16.1%), settings (inpatient 4.7%, outpatient 14.2%), and test indication (5.0-35.9%). When compared to age, setting or indication-specific positivity, bias due to using NREVSS positivity to correct for untested ARIs ranged from - 76% to 3556%. CONCLUSIONS: RSV-test positivity depends on the characteristics of patients for whom those tests were ordered. NREVSS-based correction for RSV-under-ascertainment underestimates the true incidence among children and overestimate rates among adults. Demographic-specific detail on testing practice and positivity can improve the accuracy of RSV-incidence estimates.


Assuntos
Infecções por Vírus Respiratório Sincicial , Infecções Respiratórias , Adulto , Criança , Pré-Escolar , Humanos , Incidência , Lactente , Recém-Nascido , Vigilância da População , Infecções por Vírus Respiratório Sincicial/diagnóstico , Infecções por Vírus Respiratório Sincicial/epidemiologia , Incerteza , Estados Unidos/epidemiologia
6.
Perspect Biol Med ; 65(2): 274-282, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35938435

RESUMO

Of the more than 47 million people living with Alzheimer's disease or other types of dementia, an estimated one-third live alone. This essay explores the idea of the dignity of risk as it presents in the lives of people living alone with dementia, an underrepresented group in research, and considers the tension between safeguarding people with dementia from risks associated with disease progression and denying them the experience of risk as an aspect of everyday life. For individuals, risk is associated with vulnerability, choice, uncertainty, and the pursuit of goals, and may hold positive and negative connotations. This essay considers how myriad choices in the everyday lives of people living alone with dementia present some degree of risk, and how the ability to make these choices may constitute a life of dignity, replete with meaning and richness. The essay concludes with suggestions about how to reframe living alone with dementia as a way of living that can be better socially supported.


Assuntos
Demência , Ambiente Domiciliar , Humanos , Respeito , Incerteza
7.
Perspect Biol Med ; 65(2): 337-344, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35938441

RESUMO

Pain is the most common reason for seeking medical care. Yet treating it is often fraught with uncertainty and a powerful sense of risk in American medicine, particularly in the context of the ongoing opioid crisis. Clinical consensus about the best way to manage many forms of pain remains elusive, and risks ramify beyond individual patients themselves to entangle clinicians and even society at large. The language of "balancing risk" often frames discussions-in both clinical decision-making and public policy-about whether to prioritize relieving pain or preventing addiction and whether to privilege individual or public health. This article takes up the notion of balancing risk to explore the way in which it embeds assumptions about commensurability of profoundly different forms and scales of risk, imagining that they can be calculated, compared, and brought into some kind of give-and-take alignment with one another. Thinking with a "dignity of risk" lens, however, suggests other possible frames, moving us away from such fictive calculations of risk in contemporary pain care and toward a more patient-focused clarification of risk.


Assuntos
Dor , Humanos , Incerteza , Estados Unidos
8.
Phys Med Biol ; 67(16)2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35938467

RESUMO

Objective.In preclinical radiotherapy with kilovolt (kV) x-ray beams, accurate treatment planning is needed to improve the translation potential to clinical trials. Monte Carlo based radiation transport simulations are the gold standard to calculate the absorbed dose distribution in external beam radiotherapy. However, these simulations are notorious for their long computation time, causing a bottleneck in the workflow. Previous studies have used deep learning models to speed up these simulations for clinical megavolt (MV) beams. For kV beams, dose distributions are more affected by tissue type than for MV beams, leading to steep dose gradients. This study aims to speed up preclinical kV dose simulations by proposing a novel deep learning pipeline.Approach.A deep learning model is proposed that denoises low precision (∼106simulated particles) dose distributions to produce high precision (109simulated particles) dose distributions. To effectively denoise the steep dose gradients in preclinical kV dose distributions, the model uses the novel approach to use the low precision Monte Carlo dose calculation as well as the Monte Carlo uncertainty (MCU) map and the mass density map as additional input channels. The model was trained on a large synthetic dataset and tested on a real dataset with a different data distribution. To keep model inference time to a minimum, a novel method for inference optimization was developed as well.Main results.The proposed model provides dose distributions which achieve a median gamma pass rate (3%/0.3 mm) of 98% with a lower bound of 95% when compared to the high precision Monte Carlo dose distributions from the test set, which represents a different dataset distribution than the training set. Using the proposed model together with the novel inference optimization method, the total computation time was reduced from approximately 45 min to less than six seconds on average.Significance.This study presents the first model that can denoise preclinical kV instead of clinical MV Monte Carlo dose distributions. This was achieved by using the MCU and mass density maps as additional model inputs. Additionally, this study shows that training such a model on a synthetic dataset is not only a viable option, but even increases the generalization of the model compared to training on real data due to the sheer size and variety of the synthetic dataset. The application of this model will enable speeding up treatment plan optimization in the preclinical workflow.


Assuntos
Aprendizado Profundo , Método de Monte Carlo , Dosagem Radioterapêutica , Planejamento da Radioterapia Assistida por Computador/métodos , Incerteza
9.
Proc Natl Acad Sci U S A ; 119(32): e2108208119, 2022 Aug 09.
Artigo em Inglês | MEDLINE | ID: mdl-35914134

RESUMO

Many important social and policy decisions are made by small groups of people (e.g., juries, college admissions officers, or corporate boards) with the hope that a collective process will yield better and fairer decisions. In many instances, it is possible for these groups to fail to reach a decision by not garnering a minimum number of votes (e.g., hung juries). Our research finds that pivotal voters vote to avoid such decision failure-voters who can "tip" their group into a punishment decision will be more likely to do so. This effect is distinct from well-known social pressures to simply conform with others or reach unanimity. Using observational data from Louisiana court cases, we find a sharp discontinuity in juries' voting decisions at the threshold between indecision and conviction (Study 1). In a third-party punishment paradigm, pivotal voters were more likely to vote to punish a target than nonpivotal voters, even when holding social information constant (Study 2), and adopted harsher views about the target's deservingness of punishment (Study 3). Using vignettes, we find that pivotal voters are judged to be differentially responsible for the outcomes of their votes-those who "block" the group from reaching a punishment decision are deemed more responsible for the outcome than those who "fall in line" (Study 4). These findings provide insight into how we might improve group decision-making environments to ensure that their outcomes accurately reflect group members' actual beliefs and not the influence of social pressures.


Assuntos
Tomada de Decisão Compartilhada , Processos Grupais , Função Jurisdicional , Punição , Humanos , Louisiana , Infuência dos Pares , Punição/psicologia , Incerteza
10.
Philos Trans R Soc Lond B Biol Sci ; 377(1860): 20210309, 2022 Sep 26.
Artigo em Inglês | MEDLINE | ID: mdl-35934970

RESUMO

The 'social complexity hypothesis' posits that complex social systems (which entail high uncertainty) require complex communicative systems (with high vocal flexibility). In species with fission-fusion dynamics, where the fluid composition of temporary subgroups increases the uncertainty with which group members must manage their social relationships, vocal communication must be particularly flexible. This study assessed whether contact call rates vary with caller and audience characteristics in free-living spider monkeys, as well as with fission and fusion events. Adult females and immature individuals called more when in small audience settings, while audience size did not influence adult males. Adults called more when in the presence of the opposite sex, whereas immatures vocalized more in subgroups composed only by females. Females also called more when with their mature sons. We found higher call rates in periods during which fission and fusion events took place than in periods with more stable compositions and when the composition after a fission or fusion event changed from one sex to two sexes. A flexible use of contact calls allows individuals to identify themselves when they join others, particularly if they are members of the opposite sex. This socio-spatial cohesion function reduces the uncertainty about subgroup composition. This article is part of the theme issue 'Cognition, communication and social bonds in primates'.


Assuntos
Atelinae , Comportamento Social , Animais , Cognição , Feminino , Masculino , Incerteza , Vocalização Animal
11.
J Contin Educ Nurs ; 53(8): 355-363, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-35914275

RESUMO

This article proposes an integrative model for the psychological resources of grit. The growing body of work in nursing on the topic of grit indicates considerable interest in achieving long-term goals, especially amidst uncertainty from the COVID-19 pandemic. Motivational behaviors are thought to influence engagement in continuing education in nursing, thereby improving clinical practice and patient outcomes. The model was informed by a comprehensive review of the literature. Sixteen attributes for acquiring and strengthening four psychological resources of grit were identified. Each attribute is discussed along with interrelationships and implications for professional nursing development. Given the complex demands placed on health professionals, this model is both timely and relevant for all nurse and education providers interested in enhancing personal characteristics that may mitigate against stress and build capabilities for goal achievement. [J Contin Educ Nurs. 2022;53(8):355-363.].


Assuntos
COVID-19 , Pandemias , Educação Continuada em Enfermagem , Objetivos , Pessoal de Saúde , Humanos , Incerteza
12.
Immunohorizons ; 6(8): 569-580, 2022 Aug 04.
Artigo em Inglês | MEDLINE | ID: mdl-35926975

RESUMO

Type 2 immunity plays an important role in host defense against helminths and toxins while driving allergic diseases. Despite progress in understanding the biology of type 2 immunity, the fundamental mechanisms regulating the type 2 immune module remain unclear. In contrast with structural recognition used by pattern recognition receptors, type 2 immunogens are sensed through their functional properties. Functional recognition theory has arisen as the paradigm for the initiation of type 2 immunity. However, the vast array of structurally unrelated type 2 immunogens makes it challenging to advance our understanding of type 2 immunity. In this article, we review functional recognition theory and organize type 2 immunogens into distinct classes based on how they fit into the concept of functional recognition. Lastly, we discuss areas of uncertainty in functional recognition theory with the goal of providing a framework to further define the logic of type 2 immunity in host protection and immunopathology.


Assuntos
Helmintos , Imunidade Inata , Animais , Receptores de Reconhecimento de Padrão , Incerteza
13.
PLoS One ; 17(8): e0270430, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35925961

RESUMO

Given increased prevalence of direct-to-consumer (DTC) genetic health tests in recent years, this paper delves into discourses among researchers at professional genomics conferences and lay DTC genetic test users on popular discussion website Reddit to understand the contested value of genetic knowledge and its direct implications for health management. Harnessing ethnographic observations at five conferences and a text -analysis of 52 Reddit threads, we find both experts and lay patient-consumers navigate their own versions of "productive uncertainty." Experts develop genetic technologies to legitimize unsettled genomics as medical knowledge and mobilize resources and products, while lay patient-consumers turn to Internet forums to gain clarity on knowledge gaps that help better manage their genetic risk states. By showing how the uncertain nature of genomics serves as a productive force placing both parties within a mutually cooperative cycle, we argue that experts and patient-consumers co-produce a form of relational medicalization that concretizes "risk" itself as a disease state.


Assuntos
Testes Genéticos , Genômica , Humanos , Prevalência , Incerteza
14.
Ann Palliat Med ; 11(7): 2410-2421, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-35927775

RESUMO

BACKGROUND: The purpose of this study was to investigate the illness uncertainty and its influencing factors in patients after heart stent implantation, and to explore the relationship between uncertainty of disease, self-management behavior of coronary heart disease and quality of life after stenting. METHODS: A cross-sectional study of 168 patients with cardiac stent implantation on illness uncertainty in a tertiary hospital in Shanghai. The General Information Questionnaire and the Mishel's Uncertainty in Illness Scale (MUIS) was used to measure the uncertainty of disease in patients after coronary stenting, and the Coronary Self-Management Scale (CSMS) and 36-item Short Form Health Survey Scale (SF-36) were collected, using Pearson's method for correlation analysis. The indicators with significant statistical differences in univariate analysis were included, and the factors affecting patients' perception of disease uncertainty were analyzed by stepwise regression fitting multiple linear regression equations. RESULTS: The study showed that the mean score for disease uncertainty was 79.83±14.05 out of 160 points. By the multiple stepwise linear regression analysis, the results showed that subjective symptom improvement, follow-up with nurses after discharge, care and support from family members after discharge, quality of the quantity of stents, guidance and support from nurses during hospitalization, and educational level had a significant impact on the total uncertainty score, and were the most important factor of patient illness uncertainty. In patients with coronary heart disease, uncertainty was moderately negatively correlated with self-management ability (P<0.05, r=-0.636), and highly negatively correlated with overall quality of life scores (P<0.05, r=-0.857). CONCLUSIONS: Overall, patients with coronary stents had moderate disease uncertainty, suggesting that uncertainty is common among patients after cardiac stenting. In order to improve the uncertainty of disease in patients after with heart stent implantation (especially for patients with a large number of implanted stents), family members should give sufficient care; doctors and nurses should provide patients with adequate health education, assist patients in establishing healthy behaviors, and strengthen its self-management ability, thereby reducing the patient's sense of uncertainty, thereby improving the long-term prognosis and the patient's quality of life.


Assuntos
Doença das Coronárias , Qualidade de Vida , China , Estudos Transversais , Humanos , Stents , Incerteza
15.
Math Biosci Eng ; 19(9): 9220-9243, 2022 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-35942756

RESUMO

This paper investigates the finite time synchronization (Fin-TS) and fixed time synchronization (Fix-TS) issues on Caputo quaternion delayed neural networks (QDNNs) with uncertainty. A new Caputo fractional differential inequality is constructed, then Fix-TS settling time of the positive definite function is estimated, which is very convenient to derive Fix-TS condition to Caputo QDNNs. By designing the appropriate self feedback and adaptive controllers, the algebraic discriminant conditions to achieve Fin-TS and Fix-TS on Caputo QDNNs are proposed based on quaternion direct method, Lyapunov stability theory, extended Cauchy Schwartz inequality, Jensen inequality. Finally, the correctness and validity of the presented results under the different orders are verified by two numerical examples.


Assuntos
Redes Neurais de Computação , Retroalimentação , Tempo , Incerteza
16.
Math Biosci Eng ; 19(9): 9520-9549, 2022 Jun 30.
Artigo em Inglês | MEDLINE | ID: mdl-35942771

RESUMO

Under the uncertain market demand and quality level, a total profit model of green closed-loop supply chain system (GCL-SCS) considering corporate environmental responsibility (CER) and government differential weight subsidy (GDWS) is constructed. Based on incentive-compatibility theory, the optimal subsidy allocation policy and green investment level were explored. Fuzzy chance-constrained programming (FCCP) is used to clarify the uncertainty factors of this model; while genetic algorithm (GA) and CPLEX are used to find and compare a calculating example's approximate optimal solution about this model. The main calculating results indicate that: (1) Enterprises can make optimal recycling, production and sales strategies according to different potential demand; (2) Without government subsidy, enterprises' higher green investment level will reduce their average gross profit, increase the quality level of recycled products and decrease the recycling rate, hence reduce their environmental protection willingness; (3) Based on incentive-compatibility theory, when government subsidy weight is set as 0.34~0.41 for consumers, enterprises' higher green investment level will enhance their average gross profit, reduce the quality level of recycled products and increase the recycling rate, which will improve their environmental protection willingness; (4) Under uncertain environment, the combination of reasonable government subsidy policy and enterprises green investment can make up for the defect of enterprises green investment alone, maximize utilities of government and enterprises, and optimize the green closed loop supply chain.


Assuntos
Motivação , Reciclagem , China , Comércio , Conservação dos Recursos Naturais , Incerteza
17.
GM Crops Food ; 13(1): 142-155, 2022 Dec 31.
Artigo em Inglês | MEDLINE | ID: mdl-35942901

RESUMO

When controversies develop around scientific facts or technologies, the potential of science to become a tool in plays of interests and power between different actors is not well recognized. Cordner's concept of Strategic Science Translation (SST) shows that such actions are enabled by the uncertainty and the complexity of the scientific processes that allow the use of science in support of various, often contradictory interests and goals. Two high-profile controversies around animal toxicity studies in two different fields of European regulatory science (genetically modified food and food contact materials) were chosen as case studies to explore and expand the SST concept. Both studies involve emerging science issues, emphasizing tensions between regulatory and academic science. Communications from key Civil Society Organizations (CSOs) and industry groups were used for analysis of each controversy. We found that both groups of actors try to present their own interpretation of scientific results, taking advantage of the lack of scientific consensus, of the uncertainties associated with the negotiation in the interpretation of results, and of the wider scientific and political context. In the same time, each actor attempts to challenge the credibility of the other. The lack of formal acknowledgment of the limitations of the emerging scientific fields, as well as of different research approaches between regulatory and academic research contribute to the continuation of controversies in the public domain, as the public cannot easily assess the information presented.


Assuntos
Produtos Agrícolas , Organizações , Animais , Compostos Benzidrílicos , Fenóis , Plantas Geneticamente Modificadas , Incerteza
18.
Artigo em Inglês | MEDLINE | ID: mdl-35805334

RESUMO

Rational behavior is a standard assumption in science. Indeed, rationality is required for environmental action towards net-zero emissions or public health interventions during the SARS-CoV-2 pandemic. Yet, little is known about the elements of rationality. This paper explores a dualism of rationality comprised of optimality and consistency. By designing a new guessing game, we experimentally uncover and disentangle two building blocks of human rationality: the notions of optimality and consistency. We find evidence that rationality is largely associated to optimality and weakly to consistency. Remarkably, under uncertainty, rationality gradually shifts to a heuristic notion. Our findings provide insights to better understand human decision making.


Assuntos
COVID-19 , Tomada de Decisões , Humanos , Resolução de Problemas , SARS-CoV-2 , Incerteza
19.
Artigo em Inglês | MEDLINE | ID: mdl-35805416

RESUMO

Based on the data of 22 different countries from 2005 to 2018, this paper mainly studies the influence of entrepreneurship on sustainability, and further explores the influence of Economic Policy Uncertainty (EPU) and the interaction effect between EPU and entrepreneurship on sustainability. The results show that EPU can promote economic, environmental, and social development, the interaction between EPU and green entrepreneurship is beneficial to social development, and the interaction between EPU and non-green entrepreneurship inhibits social development. For the heterogeneity analysis, 22 countries are grouped by high and low Human Development Index (HDI). The empirical results find that EPU has a better performance in low HDI countries than that in high HDI countries. In high HDI countries, the interaction between EPU and green entrepreneurship will weaken the positive effects of green entrepreneurship on the environment.


Assuntos
Empreendedorismo , Mudança Social , Desenvolvimento Econômico , Humanos , Incerteza
20.
Sensors (Basel) ; 22(13)2022 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-35808244

RESUMO

Accurate segmentation of drivable areas and road obstacles is critical for autonomous mobile robots to navigate safely in indoor and outdoor environments. With the fast advancement of deep learning, mobile robots may now perform autonomous navigation based on what they learned in the learning phase. On the other hand, existing techniques often have low performance when confronted with complex situations since unfamiliar objects are not included in the training dataset. Additionally, the use of a large amount of labeled data is generally essential for training deep neural networks to achieve good performance, which is time-consuming and labor-intensive. Thus, this paper presents a solution to these issues by proposing a self-supervised learning method for the drivable areas and road anomaly segmentation. First, we propose the Automatic Generating Segmentation Label (AGSL) framework, which is an efficient system automatically generating segmentation labels for drivable areas and road anomalies by finding dissimilarities between the input and resynthesized image and localizing obstacles in the disparity map. Then, we train RGB-D datasets with a semantic segmentation network using self-generated ground truth labels derived from our method (AGSL labels) to get the pre-trained model. The results showed that our AGSL achieved high performance in labeling evaluation, and the pre-trained model also obtains certain confidence in real-time segmentation application on mobile robots.


Assuntos
Processamento de Imagem Assistida por Computador , Robótica , Processamento de Imagem Assistida por Computador/métodos , Redes Neurais de Computação , Incerteza
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