Title
Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation
Abstract
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 Chen184.49
Xuechen Liu200.34
Ruiwei Feng324.41
Wenzhe Wang400.34
Chunnv Yuan500.34
Weiguo Lu601.01
Haizhen He700.34
Honghao Gao821745.24
Haochao Ying97310.03
Danny Z. Chen101713165.02
Jian Wu1193395.62