3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network.

ABSTRACT:

Purpose

To enhance glioma segmentation, a 3D-MRI intelligent glioma segmentation method based on deep learning is introduced. This method offers significant guidance for medical diagnosis, grading, and treatment strategy selection.

Methods

Glioma case data were sourced from the BraTS2023 public dataset. Firstly, we preprocess the dataset, including 3D clipping, resampling, artifact elimination and normalization. Secondly, in order to enhance the perception ability of the network to different scale features, we introduce the space pyramid pool module. Then, by making the model focus on glioma details and suppressing irrelevant background information, we propose a multi-scale fusion attention mechanism; And finally, to address class imbalance and enhance learning of misclassif

SUBMITTER: Wang T 

PROVIDER: S-EPMC12165427 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature