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

BACKGROUND: Approximately 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 program in low-resource s...

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Detalhes bibliográficos
Publicado no:JMIR Mhealth Uhealth
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
Formato: Artigo
Idioma:Inglês
Publicado em: JMIR Publications 2020
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Original Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7097827/
https://ncbi.nlm.nih.gov/pubmed/32159521
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/16467
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