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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 1–10 of 41 papers

TitleStatusHype
3D Medical Imaging Segmentation on Non-Contrast CT—0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation—0
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba CounterpartCode3
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
SegReg: Segmenting OARs by Registering MR Images and CT AnnotationsCode1
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosisCode1
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
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Benchmark Results

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