Open AccessAn artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions
Author(s) -
Yu Ito,
Ai Miyoshi,
Yutaka Ueda,
Yusuke Tanaka,
Ruriko Nakae,
Akiko Morimoto,
Mayu Shiomi,
Takayuki Enomoto,
Masayuki Sekine,
Toshiyuki Sasagawa,
Kiyoshi Yoshino,
Hiroshi Harada,
Takafumi Nakamura,
Takuya Murata,
Keizo Hiramatsu,
Junko Saito,
Junko 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
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom