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SCGAN-MultiJNet-Based Data Synthesis Algorithm for Multi-Modal MRI Brain Tumor Images

2026-07-13

Abstract excerpt

Multi-modal MRI leverages complementary information from sequences including Flair, T1ce, T1 and T2, and has become a core technical support for accurate brain tumor segmentation. Nevertheless, clinical practice frequently suffers from insufficient data volume and modality missingness, which severely limit the performance of deep learning-based segmentation models. To address the above issues, this paper proposes...

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Literature Corpus work
631016a4-2ca0-5965-b767-5d77cdb7ecb3
DOI
10.20944/preprints202607.0869.v1
Open publication

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SCGAN-MultiJNet-Based Data Synthesis Algorithm for Multi-Modal MRI Brain Tumor ImagesDOI 10.20944/preprints202607.0869.v1
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