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DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation

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MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation

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Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism

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TdDS-UNet: top-down deeply supervised U-Net for the delineation of 3D colorectal cancer

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Evolutionary Large Language Models Driven Cancer Cell Data Analysis

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Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning

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