Magnetic Resonance Imaging Radiomics-Driven Artificial Neural Network Model for Advanced Glioma Grading Assessment

Magnetic Resonance Imaging Radiomics-Driven Artificial Neural Network Model for Advanced Glioma Grading Assessment

<i>Background and Objectives</i>: Gliomas are characterized by high disability rates, frequent recurrence, and low survival rates, posing a significant threat to human health. Accurate grading of gliomas is crucial for treatment plan selection and prognostic assessment. Previous studies...

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Bibliographic Details
Main Authors: Yan Qin, Wei You, Yulong Wang, Yu Zhang, Zhijie Xu, Qingling Li, Yuelong Zhao, Zhiwei Mou, Yitao Mao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Medicina
Subjects:
MRI
radiomics
glioma
grading
artificial neural network model
Online Access:https://www.mdpi.com/1648-9144/61/6/1034
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