RESUMO
Clinical imaging (e.g., magnetic resonance imaging and computed tomography) is a crucial adjunct for clinicians, aiding in the diagnosis of diseases and planning of appropriate interventions. This is especially true in malignant conditions such as hepatocellular carcinoma (HCC), where image segmentation (such as accurate delineation of liver and tumor) is the preliminary step taken by the clinicians to optimize diagnosis, staging, and treatment planning and intervention (e.g., transplantation, surgical resection, radiotherapy, PVE, embolization, etc). Thus, segmentation methods could potentially impact the diagnosis and treatment outcomes. This paper comprehensively reviews the literature (during the year 2012-2021) for relevant segmentation methods and proposes a broad categorization based on their clinical utility (i.e., surgical and radiological interventions) in HCC. The categorization is based on the parameters such as precision, accuracy, and automation.
Assuntos
Carcinoma Hepatocelular , Neoplasias Hepáticas , Carcinoma Hepatocelular/diagnóstico por imagem , Carcinoma Hepatocelular/cirurgia , Humanos , Neoplasias Hepáticas/diagnóstico por imagem , Neoplasias Hepáticas/cirurgia , Imageamento por Ressonância Magnética , Tomografia Computadorizada por Raios XRESUMO
Humans are the only known definitive host of the tapeworm Taenia solium and become a carrier by eating undercooked pork contaminated with "Cysticercus cellulosae" (cysticerci). Pigs act as an intermediate host and acquire cysticercosis by ingestion of eggs or proglottids from human feces, which develop into cysticerci within tissue, mostly without causing clinical symptoms in the host. Cysticercosis occurs in humans in a context of "fecal peril" by ingestion of egg-contaminated soil, water, vegetation, or auto-infestation. It has been reported in the published data that the separation of swine from humans, healthy cooking, and hygienic practices would lead to the eradication of the disease. However, cysticercosis is still a major public health problem in endemic regions, with more than 50 million infected people and is now a re-emerging disease in industrialized countries owing to human migration. It is the second most common cause of seizures in tropical countries. We report a case of oral cysticercosis in a 28-year-old woman who presented with a painless swelling in the ventral portion of the tongue. An excisional biopsy was performed, and histopathologic examination revealed a cystic cavity containing the tapeworm.
Assuntos
Cisticercose/diagnóstico , Doenças da Língua/parasitologia , Adulto , Albendazol/uso terapêutico , Animais , Anti-Helmínticos/uso terapêutico , Cisticercose/tratamento farmacológico , Cisticercose/parasitologia , Cysticercus/isolamento & purificação , Feminino , Humanos , Suínos , Doenças dos Suínos/prevenção & controle , Doenças da Língua/diagnóstico , Doenças da Língua/tratamento farmacológico , Vacinas/uso terapêutico , Zoonoses/parasitologiaRESUMO
This paper attempts to present a novel application of Binary Artificial Bat algorithm for more effective location management in cellular networks. The location management is a mobility management task, which involves tracking of the mobile stations to locate their exact positions so that an incoming call or data can be routed to the intended mobile user. The location management cost comprises of the costs incurred by two processes, namely location registration and location search. This work focuses on network cost optimization, using Binary Artificial Bat algorithm for reporting cell planning strategy, which has not been reported yet. Results of the proposed algorithm have been compared with that of Binary Particle Swarm Optimization (BPSO) and Binary Differential Evolution (BDE) for some reference and realistic networks. The proposed approach is found to perform as good as other state-of-art techniques reported in the literature in terms of accuracy in solution, but it shows perceptible improvement in convergence speed.