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Internal validation of Automated Visual Evaluation (AVE) on smartphone images for cervical cancer screening in a prospective study in Zambia

Abstract Objectives Visual inspection with acetic acid (VIA) is a low‐cost approach for cervical cancer screening used in most low‐ and middle‐income countries (LMICs) but, similar to other visual tests, is subjective and requires sustained training and quality assurance. We developed, trained, and...

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Principais autores: Liming Hu, Mulindi H. Mwanahamuntu, Vikrant V. Sahasrabuddhe, Caroline Barrett, Matthew P. Horning, Ishan Shah, Zohreh Laverriere, Dipayan Banik, Ye Ji, Aaron Lunda Shibemba, Samson Chisele, Mukatimui Kalima Munalula, Friday Kaunga, Francis Musonda, Evans Malyangu, Karen Milch Hariharan, Groesbeck P. Parham
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2024-06-01
Serier:Cancer Medicine
Fag:
cancer prevention
cancer risk factors
deep learning
epidemiology and prevention
gynecological oncology
machine learning
Online adgang:https://doi.org/10.1002/cam4.7355
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