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3D Medical Imaging Segmentation

3D medical imaging segmentation is the task of segmenting medical objects of interest from 3D medical imaging.

( Image credit: Elastic Boundary Projection for 3D Medical Image Segmentation )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 41 papers

TitleStatusHype
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba CounterpartCode3
UNETR: Transformers for 3D Medical Image SegmentationCode3
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
SegReg: Segmenting OARs by Registering MR Images and CT AnnotationsCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellationCode1
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
Med3D: Transfer Learning for 3D Medical Image AnalysisCode1
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosisCode1
3D Densely Convolutional Networks for VolumetricSegmentation—0
3D Medical Imaging Segmentation on Non-Contrast CT—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning—0
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs—0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR ImagesCode0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separationCode0
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary ConvolutionsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Holistic-nested CNNDice Score81.3—Unverified
2Multi-class 3D FCNDice Score76.8—Unverified