M. Balkenhol

Latest

• Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.
• Learning to detect lymphocytes in immunohistochemistry with deep learning
• Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
• 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
• H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection
• Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images
• 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