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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 41 papers

TitleStatusHype
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
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
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
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Benchmark Results

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