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Advancing Liver Segmentation with Deep Learning Accurate segmentation of liver structures in CT images is crucial for various medical applications, including disease diagnosis and treatment planning. Leveraging deep learning techniques, particularly 3DResUNet architecture and DenseCRF post-processing, offers promising avenues for achieving high-quality liver segmentation. However, challenges