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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 11–20 of 41 papers

TitleStatusHype
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosisCode1
3D Densely Convolutional Networks for VolumetricSegmentation—0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation—0
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs—0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
3D Medical Imaging Segmentation on Non-Contrast CT—0
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Benchmark Results

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