SOTAVerified

Organ Segmentation

Papers

Showing 3140 of 305 papers

TitleStatusHype
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?Code1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Efficient Context-Aware Network for Abdominal Multi-organ SegmentationCode1
Continual Learning for Abdominal Multi-Organ and Tumor SegmentationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
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