This paper is in the following e-collection/theme issue:

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (461) Machine Learning (1185) mHealth for Wellness, Behavior Change and Prevention (2516) mHealth in a Clinical Setting (521) Innovations and Technology for Cancer Prevention and Screening (125)

Published on in Vol 8, No 3 (2020): March

Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques

Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques

Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques

Authors of this article:

Jung Kweon Bae 1 Author Orcid Image ;   Hyun-Jin Roh 2 Author Orcid Image ;   Joon S You 1 Author Orcid Image ;   Kyungbin Kim 3 Author Orcid Image ;   Yujin Ahn 1 Author Orcid Image ;   Sanzhar Askaruly 1 Author Orcid Image ;   Kibeom Park 1 Author Orcid Image ;   Hyunmo Yang 1 Author Orcid Image ;   Gil-Jin Jang 4 Author Orcid Image ;   Kyung Hyun Moon 5 Author Orcid Image ;   Woonggyu Jung 1 Author Orcid Image
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