A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas

Objective: To construct and validate a combined Nomogram model based on radiomic and semantic features to preoperatively classify serous and mucinous pathological types in patients with ovarian cystadenoma. Methods: A total of 103 patients with pathology-confirmed ovarian cystadenoma who underwent C...

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Detalles Bibliográficos
Autores principales: Pan, Shushu, Ding, Zhongxiang, Zhang, Lexing, Ruan, Mei, Shan, Yanna, Deng, Meixiang, Pang, Peipei, Shen, Qijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277787/
https://www.ncbi.nlm.nih.gov/pubmed/32547958
http://dx.doi.org/10.3389/fonc.2020.00895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277787/
https://www.ncbi.nlm.nih.gov/pubmed/32547958
http://dx.doi.org/10.3389/fonc.2020.00895

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