Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification
The results demonstrate SERFE's capacity to enhance tumor characterization and streamline radiomics pipelines without requiring post-extraction feature reduction. Its compatibility with existing clinical workflows makes it a promising tool for future neuro-oncology applications.
Authors
- A. Bharathi Malakreddy (ORCID: https://orcid.org/0000-0002-8456-3227)
- Santhi Natarajan (ORCID: https://orcid.org/0000-0002-6701-826X)
- I. S. Rajesh
- N. Prathik
- V. L. Sowmya
Institutions
- Itron (United States) (US)
- Shiv Nadar University (IN)
- Centre for Artificial Intelligence and Robotics (IN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-07-16
- DOI
- https://doi.org/10.3389/frai.2025.1583079
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36