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Development of Deep Learning with RDA U-Net Network for Bladder Cancer Segmentation.

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Segmentation of Living and ablated Tumor parts in CT images Using ResLU-Net

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Fully Automatic Liver and Tumor Segmentation from CT Image Using an AIM-Unet.

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Deep learning for differential diagnosis of malignant hepatic tumors based on multi-phase contrast-enhanced CT and clinical data

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Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors

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MVI-TR: A Transformer-Based Deep Learning Model with Contrast-Enhanced CT for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma.

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