Open AccessAn artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions
Author(s) -
Yu Ito,
Anderson Miyoshi,
Yutaka Ueda,
Yusuke Tanaka,
Ruriko Nakae,
Akira Morimoto,
Masahiro Shiomi,
Takayuki Enomoto,
Masayuki Sekiguchi,
Toshiyuki Sasagawa,
Kiyoshi Yoshino,
Hiroshi Hano,
Takafumi Nakamura,
Takuya Murata,
Kazuko Hiramatsu,
Junko Saito,
Junkichi Yagi,
Yoshiaki Tanaka,
Tadashi Kimura
Publication year - 2021
Publication title -
molecular and clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.442
H-Index - 7
eISSN - 2049-9469
pISSN - 2049-9450
DOI - 10.3892/mco.2021.2460
Subject(s) - colposcopy , medicine , medical diagnosis , cervical intraepithelial neoplasia , cervical cancer , diagnostic accuracy , radiology , pathological , cancer , gynecology , pathology