The quantitative evaluation of data partitioned in subcohorts of varying grading (Gr.2–Gr.4) and histologic subtypes, including GBM, Astros, and Oligos (Materials and Methods section), highlights the ability of our proposed approach to detect the IDH mutation status from WSI alone, instead of learning traditional morphological features that describe different grades. Here, IDH2 is linked to glioblastoma.