An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening-Reference-Cited by-同舟云学术

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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening

Published:2019-06 Issue:6 Volume:74 Page:343-344
ISSN:1533-9866
Container-title:Obstetrical & Gynecological Survey
language:en
Short-container-title:

Author:

Hu Liming,Bell David,Antani Sameer,Xue Zhiyun,Yu Kai,Horning Matthew P.,Gachuhi Noni,Wilson Benjamin,Jaiswal Mayoore S.,Befano Brian,Long L. Rodney,Herrero Rolando,Einstein Mark H.,Burk Robert D.,Demarco Maria,Gage Julia C.,Rodriguez Ana Cecilia,Wentzensen Nicolas,Schiffman Mark

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Obstetrics and Gynaecology,General Medicine

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Internal validation of Automated Visual Evaluation (AVE) on smartphone images for cervical cancer screening in a prospective study in Zambia;Cancer Medicine;2024-06

2. Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia;2023-07-23

3. Artificial Intelligence: the future of medicine, or an overhyped and dangerous idea?;Irish Journal of Medical Science (1971 -);2021-11-16

4. A systematic review of handheld tools in lieu of colposcopy for cervical neoplasia and female genital schistosomiasis;International Journal of Gynecology & Obstetrics;2021-02-12

5. Screening test accuracy to improve detection of precancerous lesions of the cervix in women living with HIV: a study protocol;BMJ Open;2020-12

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