Detection of cervical lesions in colposcopic images based on the RetinaNet method-Reference-Cited by-同舟云学术

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Detection of cervical lesions in colposcopic images based on the RetinaNet method

Published:2022-05 Issue: Volume:75 Page:103589
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Chen Jiancui,Li Ping,Xu Tianxiang,Xue Huifeng,Wang Xiaoxia,Li Ye,Lin Hao,Liu Peizhong,Dong Binhua,Sun Pengming

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference31 articles.

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2. Cancer statistics, 2020;Siegel;CA. A Cancer J Clin,2020

3. Cervical Cancer Prevention—Cervical Screening: Science in Evolution;Safaeian;Obstetrics and Gynecology Clinics of North America.,2007

4. Multi-feature based benchmark for cervical dysplasia classification evaluation;Xu;Pattern Recognition.,2017

5. ASCCP Colposcopy Standards: How Do We Perform Colposcopy? Implications for Establishing Standards;Waxman;J. Low. Genit. Tract Dis.,2017

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