Ruixiang Geng

Learning Deep Pathological Features for WSI-Level Cervical Cancer Grading

Fully automated cervical cancer grading on the level of Whole Slide Images (WSI) is a challenge task. As WSIs are in gigapixel resolution, it is impossible to train a deep classification neural network with the entire WSIs as inputs. To bypass this problem, we propose a two-stage learning framework.…