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Volumetric Medical Image Segmentation

Papers

Showing 110 of 58 papers

TitleStatusHype
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
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