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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) Machine Learning (1501) mHealth for Wellness, Behavior Change and Prevention (2922) mHealth in a Clinical Setting (624) Innovations and Technology for Cancer Prevention and Screening (150)

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 Bae1 Author Orcid Image ;   Hyun-Jin Roh2 Author Orcid Image ;   Joon S You1 Author Orcid Image ;   Kyungbin Kim3 Author Orcid Image ;   Yujin Ahn1 Author Orcid Image ;   Sanzhar Askaruly1 Author Orcid Image ;   Kibeom Park1 Author Orcid Image ;   Hyunmo Yang1 Author Orcid Image ;   Gil-Jin Jang4 Author Orcid Image ;   Kyung Hyun Moon5 Author Orcid Image ;   Woonggyu Jung1 Author Orcid Image
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