An artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions-Reference-Cited by-同舟云学术

An artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions

Published:2021-12-08 Issue:2 Volume:16 Page:
ISSN:2049-9450
Container-title:Molecular and Clinical Oncology
language:
Short-container-title:Mol Clin Oncol

Author:

Ito Yu¹,Miyoshi Ai¹,Ueda Yutaka¹,Tanaka Yusuke¹,Nakae Ruriko¹,Morimoto Akiko¹,Shiomi Mayu¹,Enomoto Takayuki²,Sekine Masayuki²,Sasagawa Toshiyuki³,Yoshino Kiyoshi⁴,Harada Hiroshi⁴,Nakamura Takafumi⁵,Murata Takuya⁵,Hiramatsu Keizo⁶,Saito Junko⁷,Yagi Junko⁸,Tanaka Yoshiaki⁹,Kimura Tadashi¹

Affiliation:

1. Department of Obstetrics and Gynecology, Osaka University Graduate School of Medicine, Suita, Osaka 567‑0871, Japan

2. Department of Obstetrics and Gynecology, Niigata University Graduate School of Medicine, Chuo-ku, Niigata 951‑8520, Japan

3. Department of Obstetrics and Gynecology, Kanazawa Medical University, Uchinada, Ishikawa 920‑0293, Japan

4. Department of Obstetrics and Gynecology, University of Occupational and Environmental Health, Kitakyushu, Fukuoka 807‑8556, Japan

5. Department of Obstetrics and Gynecology, Kawasaki Medical University, Kurashiki, Okayama 701‑0192, Japan

6. Hiramatsu Obstetrics and Gynecology Clinic, Kishiwada-shi, Osaka 583‑0024, Japan

7. Saito Women Clinic, Yodogawa-ku, Osaka 532‑0003, Japan

8. Ladies Clinic Yagi, Senboku-gunn, Osaka 595‑0805, Japan

9. Maki Ladies Clinic, Ibaraki-shi, Osaka 567‑0031, Japan

Publisher

Spandidos Publications

Subject

Cancer Research,Oncology

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determinants of artificial intelligence-assisted diagnostic system adoption intention: A behavioral reasoning theory perspective;Technology in Society;2024-09

2. Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching;BMC Medical Education;2024-04-11

3. Diagnostic Efficacy of Enhanced Visual Assessment [Visual Check] for Triaging Cervical Cancer Screen Positive Women;Journal of Mid-life Health;2024-04

4. Application Exploration of Medical Image-aided Diagnosis of Breast Tumour Based on Deep Learning;Current Medical Imaging Formerly Current Medical Imaging Reviews;2024-03-19

5. Application options of the artificial intelligence in colposcopy within screening programs;P.A. Herzen Journal of Oncology;2024