Multi-task glioma segmentation and IDH mutation and 1p19q codeletion classification via a deep learning model on multimodal MRI

Objectives: To develop a deep learning model for simultaneous segmentation of glioma lesions and classification of IDH mutation and 1p/19q codeletion status using multimodal MRI. Materials and Methods: We employed a CNN model with Encoder-Decoder architecture for segmentation, followed by fully conn...

Full description

Saved in:
Bibliographic Details
Main Authors: Erin Beate Bjørkeli, Morteza Esmaeili
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Meta-Radiology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2950162825000207
Tags: Add Tag
No Tags, Be the first to tag this record!