Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques
- Issued Date
- 2020
- Type
- Article
- Keyword
- smartphone-based endoscope; smartphone VIA; machine learning; cervical cancer screening; low-resource settings
- DOI
- 10.2196/16467
- Publisher
- JMIR MHEALTH AND UHEALTH
- Language
- 영어
- ISSN
- 2291-5222
- Citation Volume
- 8
- Citation Number
- 3
- Citation Start Page
- 16467
- Citation End Page
- 16467
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