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Found 3 papers, 3 papers with code
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) that contains a duct-level instance segmentation model, a tissue-level semantic segmentation model, and three-levels of features for diagnostic classification.
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
In this paper, we introduce a conceptually simple network for generating discriminative tissue-level segmentation masks for the purpose of breast cancer diagnosis.
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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