Articles: Deep Dive

Predicting Molecular Tumor Biomarkers from H&E: A Review of the State-of-the-Art

Predicting Molecular Tumor Biomarkers from H&E: A Review of the State-of-the-Art

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

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5 Ways to Make Histopathology Image Models More Robust to Domain Shifts

5 Ways to Make Histopathology Image Models More Robust to Domain Shifts

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

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Survival Models for Histopathology

Survival Models for Histopathology

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

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From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision

From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision

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

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