Name
Title | ||
|---|---|---|
A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification |
Abstract | ||
|---|---|---|
Colorectal cancer (CRC) is one of the most life-threatening malignancies. Colonoscopy pathology examination can identify cells of early-stage colon tumors in small tissue image slices. But, such examination is time-consuming and exhausting on high resolution images. In this paper, we present a new framework for colonoscopy pathology whole slide image (WSI) analysis, including lesion segmentation a... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2020.3040269 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Training,Colonoscopy,Cancer,Task analysis,Image segmentation,Decoding,Lesions | Journal | 25 |
Issue | ISSN | Citations |
10 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruiwei Feng | 1 | 2 | 4.41 |
| Xuechen Liu | 2 | 0 | 0.68 |
| Jintai Chen | 3 | 4 | 4.12 |
| Danny Z. Chen | 4 | 1713 | 165.02 |
| Honghao Gao | 5 | 217 | 45.24 |
| Jian Wu | 6 | 933 | 95.62 |