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Volumetric Medical Image Segmentation

Papers

Showing 125 of 58 papers

TitleStatusHype
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
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