Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification

IntroductionRadiomics-based glioblastoma classification demands feature extraction techniques that can effectively capture tumor heterogeneity while maintaining computational efficiency. Conventional tools such as PyRadiomics and CaPTk rely on extensive handcrafted feature sets, which often result i...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	V. L. Sowmya, A. Bharathi Malakreddy, Santhi Natarajan, N. Prathik, I. S. Rajesh
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Subjects:	spectral radiomics entropy-weighted feature selection graph-theoretic encoding adaptive radiomics modelling glioblastoma classification TCIA-based radiomics
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1583079/full