Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2020.01.004
Abstract: Abstract Comfort shoe-last design relies on the key points of last curvature. Traditional plantar pressure image segmentation methods are limited to their local and global minimization issues. In this work, an improved fully convolutional networks… read more here.
Keywords: plantar pressure; deep segmentation; segmentation; fully convolutional ... See more keywords
Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3144840
Abstract: Inferior Alveolar Nerve (IAN) canal detection has been the focus of multiple recent works in dentistry and maxillofacial imaging. Deep learning-based techniques have reached interesting results in this research field, although the small size of… read more here.
Keywords: deep segmentation; segmentation mandibular; dataset; mandibular canal ... See more keywords
Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12081788
Abstract: Recent breakthroughs of deep learning algorithms in medical imaging, automated detection, and segmentation techniques for renal (kidney) in abdominal computed tomography (CT) images have been limited. Radiomics and machine learning analyses of renal diseases rely… read more here.
Keywords: kidney stones; deep segmentation; unenhanced abdominal; kidney ... See more keywords