San Antonio Breast Symposium-19: Development of Novel Automated Grade and Survival Prediction of Breast Cancer Patients Using Machine Learning and AI Algorithms Applied to H&E Images in TCGA Dataset.
Challenges in pathology reporting in breast cancer include inter pathologist variability and lack of quantitative and standardized approaches to histologic grading. We developed an automated multi-network machine learning and AI platform for grading and evaluated performance against clinical outcome prediction.
