390 citations · 408 across the 4 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
eess.IV2022
Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis
Sevcan Turk, Kaya Oguz, Mehmet Orman +6
Purpose; The purpose of this study is to classify glial tumors into grade II, III and IV categories noninvasively by application of machine learning to multi-modal MRI features in…
cs.LG2022★ 390 cited
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…