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.

Automatic frontal sinus recognition in computed tomography images for person identification.

In many cases of person identification the use of biometric features obtained from the hard tissues of the human body, such as teeth and bones, may be the only option. This paper presents a new method of person identification based on frontal sinus features, extracted from computed tomography (CT) images of the skull. In this method, the frontal sinus is automatically segmented in the CT image using an algorithm developed in this work.

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.

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

The aim of this study was to evaluate the expression of β2-adrenergic receptor (β2-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.