RUnT: A network combining Residual U-net and Transformer for vertebral edge feature fusion constrained spine CT image segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3281468
Abstract: Scoliosis, spinal deformity and vertebral spondylolisthesis are spinal disorders with high incidence, which seriously affect people’s lives and health. CT is an important medical tool for the detection and diagnosis of spinal disorders and provides… read more here.
Keywords: network; residual net; feature; edge ... See more keywords
Reconstruction of Sparsely Sampled Seismic Data via Residual U-Net
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3035835
Abstract: Reconstruction of sparsely sampled seismic data is critical for maintaining the quality of seismic images when significant numbers of shots and receivers are missing. We present a reconstruction method in the shot-receiver-time (SRT) domain based… read more here.
Keywords: residual net; seismic data; reconstruction sparsely; sparsely sampled ... See more keywords
A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Internet Research"
DOI: 10.2196/34415
Abstract: Background Detection and quantification of intra-abdominal free fluid (ie, ascites) on computed tomography (CT) images are essential processes for finding emergent or urgent conditions in patients. In an emergency department, automatic detection and quantification of… read more here.
Keywords: deep residual; detection quantification; residual net;