Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading.
This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prostate histopathology images, a critical task in the diagnosis and prognosis of prostate Wind Wheels cancer.This study shows that the Gleason grading accuracy can be improved by addressing the prevalent issue of label inconsistencies in the SICAPv2 pros