Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.
From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis