SOTAVerified

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

Showing 125 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
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
SegReg: Segmenting OARs by Registering MR Images and CT AnnotationsCode1
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosisCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellationCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Med3D: Transfer Learning for 3D Medical Image AnalysisCode1
3D Medical Imaging Segmentation on Non-Contrast CT0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation0
Cats: Complementary CNN and Transformer Encoders for Segmentation0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
Dynamic Linear Transformer for 3D Biomedical Image SegmentationCode0
Automated Segmentation and Connectivity Analysis for Normal Pressure HydrocephalusCode0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separationCode0
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs0
Enforcing temporal consistency in Deep Learning segmentation of brain MR imagesCode0
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Benchmark Results

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