Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging

Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging

Abstract To establish a deep learning (DL) model in differentiating borderline ovarian tumor (BOT) from epithelial ovarian cancer (EOC) on conventional MR imaging. We retrospectively enrolled 201 patients of 102 pathologically proven BOTs and 99 EOCs at OB/GYN hospital Fudan University, between Janu...

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Bibliographic Details
Main Authors: Yida Wang, He Zhang, Tianping Wang, Liangqing Yao, Guofu Zhang, Xuefen Liu, Guang Yang, Lei Yuan
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-29814-3

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https://doi.org/10.1038/s41598-023-29814-3

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