A novel MRI-based deep learning–radiomics framework for evaluating cerebrospinal fluid signal in central nervous system infection

A novel MRI-based deep learning–radiomics framework for evaluating cerebrospinal fluid signal in central nervous system infection

IntroductionAccurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to delay. This study proposes a novel noninvasive framework integrating handcrafted radiomic features and deep...

Full description

Saved in:
Bibliographic Details
Main Authors: Ferhat Cüce, Gökalp Tulum, Muhammed Ikbal Isik, Marziye Jalili, Güven Girgin, Ömer Karadaş, Niray Baş, Berza Özcan, Ümit Savaşci, Sena Şakir, Akçay Övünç Karadaş, Eda Teomete, Onur Osman, Jawad Rasheed
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Medicine
Subjects:
central nervous system infection
cerebrospinal fluid
brain MRI
Radiomics
deep learning
lumbar puncture
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1659653/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2025.1659653/full

Similar Items