Towards Precision Medicine in Sinonasal Tumors: Low-Dimensional Radiomic Signature Extraction from MRI
<b>Background:</b> Sinonasal tumors are rare, accounting for 3–5% of head and neck neoplasms. Machine learning (ML) and radiomics have shown promise in tumor classification, but current models lack detailed morphological and textural characterization. <b>Methods:</b> This stu...
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Main Authors: | Riccardo Biondi, Giacomo Gravante, Daniel Remondini, Sara Peluso, Serena Cominetti, Francesco D’Amore, Maurizio Bignami, Alberto Daniele Arosio, Nico Curti |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/15/13/1675 |
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