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
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
Automated Segmentation and Connectivity Analysis for Normal Pressure HydrocephalusCode0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
An application of cascaded 3D fully convolutional networks for medical image segmentationCode0
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck AnatomyCode0
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext TaskCode0
A New Ensemble Learning Framework for 3D Biomedical Image SegmentationCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithmCode0
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image SegmentationCode0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Dynamic Linear Transformer for 3D Biomedical Image SegmentationCode0
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Benchmark Results

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