Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features.

Objective: This study aimed to create a reliable method for preoperative grading of meningiomas by combining radiomic features and deep learning-based features extracted using a 3D autoencoder. The goal was to utilize the strengths of both handcrafted radiomic features and deep learning features to...

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Publicado en:	Neuroradiology Vol. 67; no. 10; pp. 2741 - 2762
Autores principales:	Saadh, Mohamed J., Albadr, Rafid Jihad, Sur, Dharmesh, Yadav, Anupam, Roopashree, R., Sangwan, Gargi, Krithiga, T., Aminov, Zafar, Taher, Waam Mohammed, Alwan, Mariem, Jawad, Mahmood Jasem, Al-Nuaimi, Ali M. Ali, Farhood, Bagher
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Oct2025
Acceso en línea:	Ver este registro en EBSCOhost