Histopathology

Building Robust AI Solutions for Whole Slide Images

Building Robust AI Solutions for Whole Slide Images

A great deal of focus in the pathology AI world is placed on creating models.

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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 Breast cancer is a clear example of the effectiveness of precision medicine.

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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 One of the largest challenges in histopathology image analysis is creating models that are robust to the variations across different labs and imaging systems.

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Finding prognostic patterns in gigapixel images

Finding prognostic patterns in gigapixel images

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

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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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Deep learning-based histology biomarkers:  Recent advances and challenges for clinical use

Deep learning-based histology biomarkers: Recent advances and challenges for clinical use

Breast cancer is a clear example of the effectiveness of precision medicine.

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Predicting Molecular Tumor Biomarkers from Images

Predicting Molecular Tumor Biomarkers from Images

New AI technology using H&E images creates an alternative path for molecular diagnostics Molecular properties are critical in selecting cancer treatments to target weaknesses of individual tumors.

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AI Insights into Tumor Heterogeneity

AI Insights into Tumor Heterogeneity

Not all cancers are the same, so how can we identify the differences that we can’t see?

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A Deeper Understanding of Breast Cancer

A Deeper Understanding of Breast Cancer

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

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