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 2641 of 41 papers

TitleStatusHype
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationCode0
Elastic Boundary Projection for 3D Medical Image SegmentationCode0
Enforcing temporal consistency in Deep Learning segmentation of brain MR imagesCode0
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
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale studyCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning0
3D Densely Convolutional Networks for VolumetricSegmentation0
Cats: Complementary CNN and Transformer Encoders for Segmentation0
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation0
3D Medical Imaging Segmentation on Non-Contrast CT0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation0
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Benchmark Results

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