3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

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RDCTrans U-Net: A Hybrid Variable Architecture for Liver CT Image Segmentation

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Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

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Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic Magnetic Resonance Imaging Using Mask Region-Based Convolutional Neural Networks

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Liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network

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Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images

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Self-paced DenseNet with boundary constraint for automated multi-organ segmentation on abdominal CT images

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Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI

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