Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features

OBJECTIVES: A subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs. METHODS: From June 2009 to December 2019, 78 patients dia...

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Detalles Bibliográficos
Autores principales: Chen, Yan-Jen, Hsieh, Hsun-Ping, Hung, Kuo-Chuan, Shih, Yun-Ju, Lim, Sher-Wei, Kuo, Yu-Ting, Chen, Jeon-Hor, Ko, Ching-Chung
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/PMC9065347/
https://www.ncbi.nlm.nih.gov/pubmed/35515108
http://dx.doi.org/10.3389/fonc.2022.813806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065347/
https://www.ncbi.nlm.nih.gov/pubmed/35515108
http://dx.doi.org/10.3389/fonc.2022.813806

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