Suspicous (BIRADS 4,5)-no suspicous (BIRADS 1,2,3) per image classification
1 papers with code • 1 benchmarks • 1 datasets
Per image binary classification for mammography images based on BIRADS labels. Suspicious: BIRADS 4, 5; no suspicious: BIRADS 1, 2, 3
Benchmarks
These leaderboards are used to track progress in Suspicous (BIRADS 4,5)-no suspicous (BIRADS 1,2,3) per image classification
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InBreast
Most implemented papers
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Inspired by the success of using deep convolutional features for natural image analysis and multi-instance learning (MIL) for labeling a set of instances/patches, we propose end-to-end trained deep multi-instance networks for mass classification based on whole mammogram without the aforementioned ROIs.
