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

MUNETOSHI AKAZAWA; KAZUNORI HASHIMOTO

doi:10.21873/anticanres.16568

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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Anticancer Research

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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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deep learning
machine learning
ovarian cancers
MRI scan

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