13058_2019_1165_MOESM10_ESM.pdf (328.94 kB)
Additional file 10: of A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk
journal contribution
posted on 2019-07-30, 04:16 authored by Sergey Klimov, Islam Miligy, Arkadiusz Gertych, Yi Jiang, Michael Toss, Padmashree Rida, Ian Ellis, Andrew Green, Uma Krishnamurti, Emad Rakha, Ritu AnejaSupplementary Figure S5. Schematic of the logic used to translate risk category of patient slides to patient risk. Patients who possessed multiple resection slides were put into a high-risk subgroup if any of their slides were classified as high-risk by the recurrence classifier. (PDF 328 kb)