Title | ||
---|---|---|
Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation |
Abstract | ||
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Accurate cervical lesion detection (CLD) methods using colposcopic images are highly demanded in computer-aided diagnosis (CAD) for automatic diagnosis of High-grade Squamous Intraepithelial Lesions (HSIL). However, compared to natural scene images, the specific characteristics of colposcopic images, such as low contrast, visual similarity, and ambiguous lesion boundaries, pose difficulties to acc... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/JBHI.2021.3100367 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Lesions,Feature extraction,Proposals,Visualization,Task analysis,Cervical cancer,Solid modeling | Journal | 26 |
Issue | ISSN | Citations |
4 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tingting Chen | 1 | 8 | 4.49 |
Xuechen Liu | 2 | 0 | 0.34 |
Ruiwei Feng | 3 | 2 | 4.41 |
Wenzhe Wang | 4 | 0 | 0.34 |
Chunnv Yuan | 5 | 0 | 0.34 |
Weiguo Lu | 6 | 0 | 1.01 |
Haizhen He | 7 | 0 | 0.34 |
Honghao Gao | 8 | 217 | 45.24 |
Haochao Ying | 9 | 73 | 10.03 |
Danny Z. Chen | 10 | 1713 | 165.02 |
Jian Wu | 11 | 933 | 95.62 |