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Research ArticleClinical Studies

Preliminary Results of Deep Learning Approach for Preoperative Diagnosis of Ovarian Cancer Based on Pelvic MRI Scans

MUNETOSHI AKAZAWA and KAZUNORI HASHIMOTO
Anticancer Research August 2023, 43 (8) 3817-3821; DOI: https://doi.org/10.21873/anticanres.16568
MUNETOSHI AKAZAWA
Department of Obstetrics and Gynecology, Tokyo Women’s Medical University Adachi Medical Center, Tokyo, Japan
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  • For correspondence: navirez{at}yahoo.co.jp
KAZUNORI HASHIMOTO
Department of Obstetrics and Gynecology, Tokyo Women’s Medical University Adachi Medical Center, Tokyo, Japan
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Article Information

vol. 43 no. 8 3817-3821
DOI 
https://doi.org/10.21873/anticanres.16568
PubMed 
37500173

Published By 
International Institute of Anticancer Research
Print ISSN 
0250-7005
Online ISSN 
1791-7530
History 
  • Received May 13, 2023
  • Revision received June 8, 2023
  • Accepted June 19, 2023
  • Published online July 26, 2023.

Copyright & Usage 
Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Author Information

  1. MUNETOSHI AKAZAWA⇑ and
  2. KAZUNORI HASHIMOTO
  1. Department of Obstetrics and Gynecology, Tokyo Women’s Medical University Adachi Medical Center, Tokyo, Japan
  1. Correspondence to: Dr. Munetoshi Akazawa, Department of Obstetrics and Gynecology, Tokyo Women’s Medical University Adachi Medical Center East, Adachi-ku, Kohoku 4-33-1, Tokyo, 123-8558, Japan. Tel: +81 338570111, Fax: +81 338940282, e-mail: navirez{at}yahoo.co.jp
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Anticancer Research: 43 (8)
Anticancer Research
Vol. 43, Issue 8
August 2023
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Preliminary Results of Deep Learning Approach for Preoperative Diagnosis of Ovarian Cancer Based on Pelvic MRI Scans
MUNETOSHI AKAZAWA, KAZUNORI HASHIMOTO
Anticancer Research Aug 2023, 43 (8) 3817-3821; DOI: 10.21873/anticanres.16568

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Preliminary Results of Deep Learning Approach for Preoperative Diagnosis of Ovarian Cancer Based on Pelvic MRI Scans
MUNETOSHI AKAZAWA, KAZUNORI HASHIMOTO
Anticancer Research Aug 2023, 43 (8) 3817-3821; DOI: 10.21873/anticanres.16568
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Keywords

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