The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases

The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases

Background: While magnetic resonance imaging (MRI) is the imaging modality of choice for the evaluation of patients with brain tumors, it may still be challenging to differentiate glioblastoma multiforme (GBM) from solitary brain metastasis (SBM) due to their similar imaging features. This study aim...

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Bibliographic Details
Main Authors: Wen-Feng Wu, Chia-Wei Shen, Kuan-Ming Lai, Yi-Jen Chen, Eugene C. Lin, Chien-Chin Chen
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence
dual-tree complex wavelet transform
glioblastoma multiforme
machine learning
magnetic resonance imaging
solitary brain metastasis
Online Access:https://www.mdpi.com/2075-4426/12/8/1276

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https://www.mdpi.com/2075-4426/12/8/1276

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