Deep neural network models for computational histopathology: A

Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives - ScienceDirect

Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneity

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data

PDF) Survey of Recent Deep Neural Networks with Strong Annotated Supervision in Histopathology

Deep learning for histopathological segmentation of smooth muscle in the urinary bladder, BMC Medical Informatics and Decision Making

Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology - Modern Pathology

A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization - Modern Pathology

Deep learning accurately stains digital biopsy slides, MIT News

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data

Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification - ScienceDirect

Cancers, Free Full-Text

Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges, Arthritis Research & Therapy