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Found 2 papers, 2 papers with code
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images
HATNet extends the bag-of-words approach and uses self-attention to encode global information, allowing it to learn representations from clinically relevant tissue structures without any explicit supervision.
Learning to Segment Breast Biopsy Whole Slide Images
We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels.
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