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 31–40 of 41 papers

TitleStatusHype
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 Learning—0
3D Densely Convolutional Networks for VolumetricSegmentation—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—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
3D Medical Imaging Segmentation on Non-Contrast CT—0
Show:102550
← PrevPage 4 of 5Next →

Benchmark Results

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