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Volumetric Medical Image Segmentation

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Showing 1–50 of 58 papers

TitleStatusHype
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
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ 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
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage SegmentationCode0
3D Densely Convolutional Networks for VolumetricSegmentationCode0
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
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation—0
Zero-Shot Gaze-based Volumetric Medical Image Segmentation—0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions—0
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples—0
Distributed Contrastive Learning for Medical Image Segmentation—0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—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
CapsNet for Medical Image Segmentation—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
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma—0
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data—0
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder—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
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