Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
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Updated
Jul 17, 2024 - Python
Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
[ICCVw 2023] "AW-Net: A Novel Fully Connected Attention-based Medical Image Segmentation Model" by Debojyoti Pal, Tanushree Meena, Dwarikanath Mahapatra, and Sudipta Roy.
A package to aid in building models for RSNA Intracranial Hemorrhage Detection competition
Official repository for RADTorch - The Medical Imaging Machine Learning Framework
RSNA Intracranial Hemorrhage Detection. The challenge is to build an algorithm to detect acute intracranial hemorrhage and its subtypes. The Dataset provided by the Radiological Society of North America (RSNA) and MD.ai.
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