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Volumetric Medical Image Segmentation

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Showing 26–50 of 58 papers

TitleStatusHype
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Distributed Contrastive Learning for 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
Federated Contrastive Learning for Volumetric Medical Image Segmentation—0
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Implicit U-Net for volumetric medical image segmentation—0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation—0
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2—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
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation—0
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation—0
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples—0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation—0
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image SegmentationCode0
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
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
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