Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging

Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging

Abstract Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. Multi-feature selection and region classification depen...

Full description

Saved in:
Bibliographic Details
Main Authors: K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Brain tumor
PET imaging
Finite segmentation model
Deep learning
Classifier learning
Medical image processing
Online Access:https://doi.org/10.1038/s41598-025-09638-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-09638-z

Similar Items