ArticleProceedings. IEEE International Symposium on Biomedical Imaging2024
ENHANCING GENERALIZABILITY IN BRAIN TUMOR SEGMENTATION: MODEL ENSEMBLE WITH ADAPTIVE POST-PROCESSING.
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble.Segmentation, classification, and synthesis for brain tumors and traumatic brain injuries : MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025,... · 2026Article
- Improving Pre-trained Adult Glioma Segmentation Models using only Post-processing Techniques.Segmentation, classification, and synthesis for brain tumors and traumatic brain injuries : MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025,... · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
Segmentation of brain tumors in multi-parametric magnetic resonance imaging facilitates quantitative analysis crucial for clinical trials and personalized patient care. This significantly influences clinical decision-making, encompassing diagnosis and prognosis and enhancing patient outcomes. The brain tumor segmentation (BraTS) challenge, in its 2023 edition, extended to a cluster of competitions incorporating multiple tumor types. Now, in conjunction with IEEE ISBI 2024, BraTS organizes its Generalizability Across Tumors (BraTS-GoAT) challenge. In this paper, we introduce a deep-learning-based ensemble strategy involving three state-of-the-art segmentation models. Furthermore, we also introduce a novel adaptive post-processing method, based on a cross-validated tumor-specific threshold search, designed to output enhanced accurate segmentations, ensuring generalizability across various tumor types. The evaluation of our proposed method on validation cases resulted in lesion-wise Dice scores of 0.842, 0.854, 0.872 and lesion-wise 95th-percentile Hausdorff Distance scores of 29.46, 24.67, 25.22 for the enhancing tumor, tumor core, and whole tumor, respectively.
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