Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review

no code implementations • 9 Dec 2023 • Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J. V. Campbell, Andrew P. Norgan, Cynthia Lokker

The aim of this systematic review was to assess the performance of externally validated ML models based on histopathology images for diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer.

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities

no code implementations • 6 Dec 2023 • Ricardo Gonzalez, Ashirbani Saha, Clinton J. V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan

This paper discusses some overlooked challenges faced when working with machine learning models for histopathology and presents a novel opportunity to support "Learning Health Systems" with them.