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eess.IV2023
Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children
Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan +3
Supervised deep learning offers great promise to automate analysis of medical images from segmentation to diagnosis. However, their performance highly relies on the quality and qua…
eess.IV2021
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker +7
Most applications of deep learning techniques in medical imaging are supervised and require a large number of labeled data which is expensive and requires many hours of careful ann…