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Volumetric Medical Image Segmentation

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Showing 26–50 of 58 papers

TitleStatusHype
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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