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Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer
Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models
Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping
Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data
3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease
Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens
Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images?
Fragile neural networks: the importance of image standardization for deep learning in digital pathology