Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction
Abstract: Highlights•Robust and efficient tumor subregion partitioning with multi-objective Bayesian optimization.•Specialized architecture enhances inter-relationships between clinical modalities for tumor sub-region partitioning.•Effective loss functions assess clustering reproducibility and clinical relevance.
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