Pathologists in a Net-Savvy World

Tell the truth, but be gentle

“…Most of the time, the laboratory personnel are bombarded with queries regarding the diagnosis of malignancies and prognosis etc. [ 4 ]…”

Active learning framework with iterative clustering for bioimage classification

“…The active learning method aims to construct an accurate classifier with the least amount of annotation. To generate the rewarding query from unannotated data, several algorithms have been proposed and are in use, including uncertainty sampling 19 , query-by-committee 20 , expected model change 21 , expected error reduction 22 and variance reduction 23 . The semi-supervised learning and active learning methods both try to use an abundance of unannotated data to train an accurate classifier.…”