Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.2196/16467
Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques
Cited by: 17
Author(s): Jung Kweon Bae, Hyun-Jin Roh, Joon S. You, Kyungbin Kim, Yujin Ahn, Sanzhar Askaruly, Kibeom Park, Hyunmo Yang, Gil-Jin Jang, Kee‐Chan Moon, Woonggyu Jung
Published: over 4 years ago