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Brain tumor segmentation using a combination of graph cut and optimized U-Net with genetic algorithm: An efficient hybrid framework for enhanced medical image analysis

2025-12-02

Abstract excerpt

Accurate segmentation of low-grade gliomas (LGG) in FLAIR MRI remains challenging due to low-contrast tumor boundaries, irregular morphology, and extreme class imbalance. This work presents a lightweight hybrid segmentation framework that integrates three complementary components: (1) a fast graph-based region refinement step (using GrabCut as an efficient approximation of graph-cut segmentation) applied during t...

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Literature Corpus work
73500804-bc49-5f4c-97f3-327e5cb52cd9
DOI
10.64898/2025.11.30.25341319
Open publication

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Brain tumor segmentation using a combination of graph cut and optimized U-Net with genetic algorithm: An efficient hybrid framework for enhanced medical image analysisDOI 10.64898/2025.11.30.25341319
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