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

BackgroundApproximately 90% of global cervical cancer (CC) is mostly found in low- and middle-income countries. In most cases, CC can be detected early through routine screening programs, including a cytology-based test. However, it is logistically difficult to offer this pro...

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Bibliographic Details
Main Authors: Bae, Jung Kweon, Roh, Hyun-Jin, You, Joon S, Kim, Kyungbin, Ahn, Yujin, Askaruly, Sanzhar, Park, Kibeom, Yang, Hyunmo, Jang, Gil-Jin, Moon, Kyung Hyun, Jung, Woonggyu
Format: Article
Language:English
Published: JMIR Publications 2020-03-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2020/3/e16467/

Internet

http://mhealth.jmir.org/2020/3/e16467/

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