Stanford Team Uses Machine Learning to Find New Indicators of Breast Cancer Survival from Image Data | GenomeWeb

By Uduak Grace Thomas

Researchers at Stanford University have developed a computerized approach that predicts breast cancer prognosis from tissue microarray image data by identifying known markers of the disease as well as a set of features that aren’t currently used by pathologists to determine survival rates.

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