File:Glioma classification results.png: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

18 November 2021

  • curprev 09:1909:19, 18 November 2021C296wong talk contribs 186 bytes +186 The figure summarizes the Glioma classification results. The proposed EM-CNN-LR method achieved the best result (accuracy: 0.771), close to inter-observer agreement between pathologists.