Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study-Reference-Cited by-同舟云学术

Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study

Published:2022-11 Issue: Volume: Page:
ISSN:2667-3258
Container-title:Fundamental Research
language:en
Short-container-title:Fundamental Research

Author:

Dong Binhua^ORCID,Xue Huifeng,Li Ye^ORCID,Li Ping,Chen Jiancui,Zhang Tao,Chen Lihua,Pan Diling,Liu Peizhong,Sun Pengming^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference42 articles.

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5. Colposcopy and additive diagnostic value of biopsies from colposcopy-negative areas to detect cervical dysplasia;Baasland;Acta Obstet. Gynecol. Scand.,2016

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1. Research Challenges in Cervical Cancer Segmentation and Classification Using Colposcopy Images;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31

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