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

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 January 2015...

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Detalles Bibliográficos
Autores principales: Wang, Yida, Zhang, He, Wang, Tianping, Yao, Liangqing, Zhang, Guofu, Liu, Xuefen, Yang, Guang, Yuan, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935539/
https://www.ncbi.nlm.nih.gov/pubmed/36797331
http://dx.doi.org/10.1038/s41598-023-29814-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935539/
https://www.ncbi.nlm.nih.gov/pubmed/36797331
http://dx.doi.org/10.1038/s41598-023-29814-3

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