Deep neural network models for computational histopathology: A

Cancers, Free Full-Text

Deep Learning in Histopathology (Part II), by Nishant Mishra

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks

Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

PDF] Deep neural network models for computational histopathology: A survey

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

Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study - ScienceDirect

PDF] REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology

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

A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images, Journal of Translational Medicine

Frontiers Applications of machine and deep learning to thyroid cytology and histopathology: a review

Deep learning integrates histopathology and proteogenomics at a pan-cancer level - ScienceDirect

A survey of Transformer applications for histopathological image analysis: New developments and future directions, BioMedical Engineering OnLine