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06/28/2023
A systematic study of the foreground-background imbalance problem in deep learning for object detection
The class imbalance problem in deep learning has been explored in severa...
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04/20/2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Training segmentation models for medical images continues to be challeng...
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03/13/2023
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs
Three-dimensional segmentation in magnetic resonance images (MRI), which...
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07/06/2022
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning
The manifold hypothesis is a core mechanism behind the success of deep l...
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03/16/2022
Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing
The assessment of knee osteoarthritis (KOA) severity on knee X-rays is a...
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11/22/2021
