DUA: A Domain-Unified Approach for Cross-Dataset 3D Human Pose Estimation.

Human pose estimation is an important Computer Vision problem, whose goal is to estimate the human body through joints. Currently, methods that employ deep learning techniques excel in the task of 2D human pose estimation. However, the use of 3D poses can bring more accurate and robust results. Since 3D pose labels can only be acquired in restricted scenarios, fully convolutional methods tend to perform poorly on the task. One strategy to solve this problem is to use 2D pose estimators, to estimate 3D poses in two steps using 2D pose inputs. Due to database acquisition constraints, the performance improvement of this strategy can only be observed in controlled environments, therefore domain adaptation techniques can be used to increase the generalization capability of the system by inserting information from synthetic domains. In this work, we propose a novel method called Domain Unified approach, aimed at solving pose misalignment problems on a cross-dataset scenario, through a combination of three modules on top of the pose estimator: pose converter, uncertainty estimator, and domain classifier. Our method led to a 44.1mm (29.24%) error reduction, when training with the SURREAL synthetic dataset and evaluating with Human3.6M over a no-adaption scenario, achieving state-of-the-art performance.

Correlation of Beta-2 Adrenergic Receptor Expression in Tumor-Free Surgical Margin and at the Invasive Front of Oral Squamous Cell Carcinoma.

Background. The beta-2 adrenergic receptor is expressed by neoplastic cells and is correlated with a wide spectrum of tumor cell mechanisms including proliferation, apoptosis, angiogenesis, migration, and metastasis. Objectives. The present study aimed to analyze the expression of the beta-2 adrenergic receptor (ß2-AR) in tumor-free surgical margins of oral squamous cell carcinomas (OSCC) and at the invasive front. Sixty-two patients diagnosed with OSCC, confirmed by biopsy, were selected for the study. The clinicopathological data and clinical follow-up were obtained from medical records and their association with ß2-AR expression was verified by the chi-square test or Fischer's exact test. To verify the correlation of ß2-AR expression in tumor-free surgical margins and at the invasive front of OSCCs, Pearson's correlation coefficient test was applied. Results. The expression of ß2-AR presented a statistically significant correlation between the tumor-free surgical margins and the invasive front of OSCC (r = 0.383; p = 0.002). The immunohistochemical distribution of ß2-AR at the invasive front of OSCC was also statistically significant associated with alcohol (p = 0.038), simultaneous alcohol and tobacco consumption (p = 0.010), and T stage (p = 0.014). Conclusions. The correlation of ß2-AR expression in OSCC and tumor-free surgical margins suggests a role of this receptor in tumor progression and its expression in normal oral epithelium seems to be constitutive.

Correlation of Beta-2 Adrenergic Receptor Expression inTumor-Free Surgical Margin and at the Invasive Front ofOral Squamous Cell Carcinoma

Background. The beta-2 adrenergic receptor is expressed by neoplastic cells and is correlated with a wide spectrum of tumor cell mechanisms including proliferation, apoptosis, angiogenesis, migration, and metastasis. Objectives. The present study aimed to analyze the expression of the beta-2 adrenergic receptor (ß2-AR) in tumor-free surgical margins of oral squamous cell carcinomas (OSCC) and at the invasive front. Sixty-two patients diagnosed with OSCC, confirmed by biopsy, were selected for the study. The clinicopathological data and clinical follow-up were obtained from medical records and their association with ß2-AR expression was verified by the chi-square test or Fischer's exact test. To verify the correlation of ß2-AR expression in tumor-free surgical margins and at the invasive front of OSCCs, Pearson's correlation coefficient test was applied. Results. The expression of ß2-AR presented a statistically significant correlation between the tumor-free surgical margins and the invasive front of OSCC (r = 0.383; p = 0.002). The immunohistochemical distribution of ß2-AR at the invasive front of OSCC was also statistically significant associated with alcohol (p = 0.038), simultaneous alcohol and tobacco consumption (p = 0.010), and T stage (p = 0.014). Conclusions. The correlation of ß2-AR expression in OSCC and tumor-free surgical margins suggests a role of this receptor in tumor progression and its expression in normal oral epithelium seems to be constitutive

Prognostic significance of beta-2 adrenergic receptor in oral squamous cell carcinoma.

The aim of this study was to evaluate the expression of ß2-adrenergic receptor (ß2-AR) in oral squamous cell carcinoma (OSCC) and to investigate the correlations between expression level and clinical characteristics, outcome, and patient prognosis. A total of 106 OSCC patients underwent surgical treatment at the A.C. Camargo Cancer Hospital, São Paulo, Brazil, were analyzed for clinicopathological data, treatment, tumor outcome, prognosis and immunohistochemical expression of ß2-AR. The ß2-AR expression was statistically analyzed relative to clinicopathological variables and survival using the Chi-square test, Kaplan-Meier curves and Cox regression model. Most OSCC (72.6%) exhibited malignant cells with strong cytoplasmatic and membranous ß2-AR expression. ß2-AR expression was significantly associated with alcohol (p = 0.021), simultaneous consumption of alcohol and tobacco (p = 0.014) and T stage (p = 0.07). In addition, OSCC patients who exhibited strong ß2-AR expression demonstrated a higher rate of overall survival (p = 0.001) and cancer specific survival (p = 0.004) compared to patients with weak/negative ß2-AR expression. The Cox regression model demonstrated that strong ß2-AR expression was an independent favorable prognostic factor for OSCC patients. These results suggest that the strong malignant cell ß2-AR expression is a favorable prognostic factor for OSCC patients and could be used as a target for new anti-neoplastic pharmacological strategies.