Articles: Histopathology

Common challenges in machine learning for pathology.

Some of the key components for robust models: quality control, generalizable, and properly validated.

New deep learning technology using H&E images has created an alternative path for molecular diagnostics

Exploring a variety of approaches: stain normalization, color augmentation, adversarial domain adaptation, model adaptation, and finetuning.

Advances in AI applying deep learning to digital pathology images can stratify patients by risk.

A review of machine learning techniques for predicting patient outcomes from whole slide images.

A review of techniques for modeling whole slide histology images and recommendations for different situations.

New advancements in using deep learning to decipher histological signatures

New AI technology using H&E images creates an alternative path for molecular diagnostics

Artificial intelligence finds new insights into molecular tumor properties using a different view – images of cells and tissue.