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Volumetric Medical Image Segmentation

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Showing 1–50 of 58 papers

TitleStatusHype
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
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
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
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage SegmentationCode0
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-trainingCode0
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext TaskCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert ConsensusCode0
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image SegmentationCode0
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation—0
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation—0
Zero-Shot Gaze-based Volumetric Medical Image Segmentation—0
Distributed Contrastive Learning for Medical Image Segmentation—0
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
CapsNet for Medical Image Segmentation—0
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2—0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation—0
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma—0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation—0
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder—0
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data—0
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift—0
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation—0
3D Densely Convolutional Networks for VolumetricSegmentation—0
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