Abstract: In this study, we proposed a new method combining graph sampling aggregation network (GraphSAGE), Contrastive Learning (CL) and Bayesian Optimization. First, GraphSAGE was used to model the ...
Abstract: This paper presents an innovative approach to liver tumor segmentation, combining the strengths of U-Net architecture with Graph Cut refinement. This paper focuses on enhancing the precision ...
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