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 1120 of 41 papers

TitleStatusHype
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
SegReg: Segmenting OARs by Registering MR Images and CT AnnotationsCode1
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellationCode1
Automated Segmentation and Connectivity Analysis for Normal Pressure HydrocephalusCode0
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithmCode0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale studyCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationCode0
Show:102550
← PrevPage 2 of 5Next →

Benchmark Results

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