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

• Main Authors: Bae, Jung Kweon (Author), Roh, Hyun-Jin (Author), You, Joon S (Author), Kim, Kyungbin (Author), Ahn, Yujin (Author), Askaruly, Sanzhar (Author), Park, Kibeom (Author), Yang, Hyunmo (Author), Jang, Gil-Jin (Author), Moon, Kyung Hyun (Author), Jung, Woonggyu (Author)
• Format: Book
• Published: JMIR Publications, 2020-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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 program in low-resource set...