Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI

Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI

Abstract Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment monitoring, but it is still poorly investigated in literature. This study proposes two different Deep Learning approaches for semantic segmentation of tumor regions in PBTs from MRI scans. Tw...

Full description

Saved in:
Bibliographic Details
Main Authors: Annachiara Cariola, Elena Sibilano, Andrea Guerriero, Vitoantonio Bevilacqua, Antonio Brunetti
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Pediatric brain tumor
Deep learning
Tumor segmentation
MRI
Online Access:https://doi.org/10.1038/s41598-025-07257-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-07257-2

Similar Items