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Volumetric Medical Image Segmentation

Papers

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Showing 26–50 of 58 papers

TitleStatusHype
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift—0
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma—0
Distributed Contrastive Learning for Medical Image Segmentation—0
Implicit U-Net for volumetric medical image segmentation—0
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Federated Contrastive Learning for Volumetric Medical Image Segmentation—0
CapsNet for Medical Image Segmentation—0
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data—0
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation—0
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples—0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions—0
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation—0
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