Deep learning in histopathology: the path to the clinic.
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.
Neural Image Compression for Gigapixel Histopathology Image Analysis.
No pixel-level annotations needed
Learning to detect lymphocytes in immunohistochemistry with deep learning
Neural Image Compression for Gigapixel Histopathology Image Analysis
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
State-of-the-Art Deep Learning in Cardiovascular Image Analysis.
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
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
Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images
The importance of stain normalization in colorectal tissue classification with convolutional networks
A Survey on Deep Learning in Medical Image Analysis
Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks