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Found 4 papers, 2 papers with code
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation
Conventional deep learning models deal with images one-by-one, requiring costly and time-consuming expert labeling in the field of medical imaging, and domain-specific restriction limits model generalizability.
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity
Osteoarthritis (OA) poses a global health challenge, demanding precise diagnostic methods.
Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children
However, their performance highly relies on the quality and quantity of the data annotation.
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
The evaluation of infectious disease processes on radiologic images is an important and challenging task in medical image analysis.
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