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
New advancements in using deep learning to decipher histological signatures
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5 Things I’ve Learned from High Impact Machine Learning Projects
The majority of machine learning projects fail. How can you insure the success of your high impact project?
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Predicting Molecular Tumor Biomarkers from Images
New AI technology using H&E images creates an alternative path for molecular diagnostics
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How to Track the Emissions of Every Power Plant on the Planet from Space
It’s easy to measure greenhouse gases but hard to know where they come from. Using satellite images and AI, we’re about to change that.
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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
Artificial intelligence finds new insights into molecular tumor properties using a different view – images of cells and tissue.
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