Diagnosing Ovarian Cancer on MRI: A Preliminary Study Comparing Deep Learning and Radiologist Assessments

Diagnosing Ovarian Cancer on MRI: A Preliminary Study Comparing Deep Learning and Radiologist Assessments

Background: This study aimed to compare deep learning with radiologists’ assessments for diagnosing ovarian carcinoma using MRI. Methods: This retrospective study included 194 patients with pathologically confirmed ovarian carcinomas or borderline tumors and 271 patients with non-malignant lesions w...

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Bibliographic Details
Main Authors: Tsukasa Saida, Kensaku Mori, Sodai Hoshiai, Masafumi Sakai, Aiko Urushibara, Toshitaka Ishiguro, Manabu Minami, Toyomi Satoh, Takahito Nakajima
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Cancers
Subjects:
ovary
carcinoma
artificial intelligence
convolutional neural network
magnetic resonance imaging
Online Access:https://www.mdpi.com/2072-6694/14/4/987

Internet

https://www.mdpi.com/2072-6694/14/4/987

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