pranavsinghps1/CASS
Official PyTorch implementation of CASS, from the following paper: CASS: Cross Architectural Self-Supervision for Medical Image Analysis. arXiv 2022.
This project helps medical professionals and researchers improve image analysis for conditions like brain tumors, autoimmune diseases, and skin lesions. It takes medical images and their corresponding diagnoses (labels) to train a system that can accurately classify new images. The intended users are medical imaging specialists, clinical researchers, and data scientists working with medical diagnostic images.
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Use this if you need to classify medical images for diagnosis or research, especially with limited labeled data or computational resources.
Not ideal if your workflow involves non-image medical data or requires incorporating patient metadata beyond image-label mapping.
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Feb 22, 2024
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