Litcius/Paper detail

ResMHA-Net: Enhancing Glioma Segmentation and Survival Prediction Using a Novel Deep Learning Framework

Novsheena Rasool, Javaid Iqbal Bhat, Najib Ben Aoun, Abdullah Alharthi, Niyaz Ahmad Wani, Vikram Chopra, Muhammad Shahid Anwar

2024Computers, materials & continua/Computers, materials & continua (Print)13 citationsDOIOpen Access PDF

Abstract

Gliomas are aggressive brain tumors known for their heterogeneity, unclear borders, and diverse locations on Magnetic Resonance Imaging (MRI) scans. These factors present significant challenges for MRI-based segmentation, a c... | Find, read and cite all the research you need on Tech Science Press

Topics & Concepts

SegmentationArtificial intelligenceGliomaDeep learningComputer scienceMachine learningPattern recognition (psychology)MedicineCancer researchBrain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical ImagingAdvanced Neural Network Applications
ResMHA-Net: Enhancing Glioma Segmentation and Survival Prediction Using a Novel Deep Learning Framework | Litcius