Bioinformatics | Oncology | Pathology A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers. March 29, 2019
Pathology Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. March 29, 2019
Pathology A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. March 29, 2019
Pathology Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. January 12, 2019
Oncology | Pathology Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent. January 11, 2019
Pathology | Radiology Image analysis and machine learning in digital pathology: Challenges and opportunities. December 2, 2018
Pathology Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images. November 13, 2018
Pathology Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. November 13, 2018
Dermatology | Pathology A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection. February 28, 2014