Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression

no code implementations • 10 Oct 2022 • Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Michael Bonham, Julianna Ianni

We also investigated the performance of using the predicted concordance rate as a malignancy classifier, and achieved a precision and recall of 0. 85 +/- 0. 05 and 0. 61 +/- 0. 06, respectively, on the test set.

Contrastive Learning Decision Making +2