Name
Title | ||
|---|---|---|
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations |
Abstract | ||
|---|---|---|
While high-resolution pathology images lend themselves well to ‘data hungry’ deep learning algorithms, obtaining exhaustive annotations on these images for learning is a major challenge. In this article, we propose a self-supervised convolutional neural network (CNN) framework to leverage unlabeled data for learning generalizable and domain invariant representations in pathology images. Our propos... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3056023 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Task analysis,Annotations,Histopathology,Semisupervised learning,Training,Tumors,Labeling | Journal | 40 |
Issue | ISSN | Citations |
10 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Navid Alemi Koohbanani | 1 | 22 | 4.35 |
| Balagopal Unnikrishnan | 2 | 0 | 0.34 |
| Syed Ali Khurram | 3 | 0 | 0.34 |
| Pavitra Krishnaswamy | 4 | 0 | 0.68 |
| Nasir M. Rajpoot | 5 | 103 | 16.77 |