Name
Title | ||
|---|---|---|
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description |
Abstract | ||
|---|---|---|
•A dataset is constructed for GRAding cervical intraepithelial Neoplasia with fine-grained lesion Description (GRAND).•We benchmark a multi-rater model for our dataset.•The proposed benchmark framework achieves a comparable CIN grading accuracy to that of a professional colposcopist. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2021.102006 | Medical Image Analysis |
Keywords | DocType | Volume |
Multi-rater,Cervical cancer,CIN grading,Contrastive learning | Journal | 70 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuexiang Li | 1 | 0 | 0.34 |
| Zhi-Hua Liu | 2 | 0 | 0.34 |
| Peng Xue | 3 | 2 | 0.73 |
| Jiawei Chen | 4 | 87 | 14.73 |
| Kai Ma | 5 | 49 | 18.48 |
| Tianyi Qian | 6 | 7 | 1.19 |
| Yefeng Zheng | 7 | 1391 | 114.67 |
| Youlin Qiao | 8 | 13 | 1.34 |