A Deep Learning Model for Preoperative Differentiation of Glioblastoma, Brain Metastasis, and Primary Central Nervous System Lymphoma: An External Validation Study

A Deep Learning Model for Preoperative Differentiation of Glioblastoma, Brain Metastasis, and Primary Central Nervous System Lymphoma: An External Validation Study

<b>(1) Background:</b> Neuroimaging differentiation of glioblastoma, primary central nervous system lymphoma (PCNSL) and solitary brain metastasis (BM) represents a diagnostic and therapeutic challenge in neurosurgical practice, expanding the burden of care and exposing patients to addit...

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Xehetasun bibliografikoak
Egile Nagusiak: Leonardo Tariciotti, Davide Ferlito, Valerio M. Caccavella, Andrea Di Cristofori, Giorgio Fiore, Luigi G. Remore, Martina Giordano, Giulia Remoli, Giulio Bertani, Stefano Borsa, Mauro Pluderi, Paolo Remida, Gianpaolo Basso, Carlo Giussani, Marco Locatelli, Giorgio Carrabba
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2022-12-01
Saila:NeuroSci
Gaiak:
brain metastases
deep learning
glioblastoma
machine learning
primary central nervous system lymphoma
Sarrera elektronikoa:https://www.mdpi.com/2673-4087/4/1/3

Internet

https://www.mdpi.com/2673-4087/4/1/3

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