Frontiers in oncology
Localization-guided segmentation of Gliomas via 3D ReFusionNet
By Chen L, Chang J, Zhang Q and 4 others.
Abstract
Purpose
This study presents a localization-guided two-stage 3D framework for the automated segmentation of brain tumors.
Methods
ReFusionNet first estimates a single region of interest containing the tumor-bearing region and then segments the whole tumor, tumor core, and enhancing tumor within the localized volume. The framework was evaluated on the UPENN-GBM and BraTS 2021 datasets using recall, precision, Dice score, and the 95th-percentile Hausdorff distance (HD95).