Artificial intelligence-based preoperative prediction system for diagnosis and prognosis in epithelial ovarian cancer: A multicenter study

BACKGROUND: Ovarian cancer (OC) is the most lethal gynecological malignancy, with limited early screening methods and poor prognosis. Artificial intelligence technology has made a great breakthrough in cancer diagnosis. PURPOSE: We aim to develop a specific interpretable machine learning (ML) predic...

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Detalles Bibliográficos
Autores principales: Wu, Meixuan, Zhao, Yaqian, Dong, Xuhui, Jin, Yue, Cheng, Shanshan, Zhang, Nan, Xu, Shilin, Gu, Sijia, Wu, Yongsong, Yang, Jiani, Yao, Liangqing, Wang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532858/
https://www.ncbi.nlm.nih.gov/pubmed/36212430
http://dx.doi.org/10.3389/fonc.2022.975703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532858/
https://www.ncbi.nlm.nih.gov/pubmed/36212430
http://dx.doi.org/10.3389/fonc.2022.975703

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