SOTAVerified

Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

Showing 451500 of 2089 papers

TitleStatusHype
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation0
MedUHIP: Towards Human-In-the-Loop Medical Segmentation0
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging SegmentationCode0
Medical SAM 2: Segment medical images as video via Segment Anything Model 2Code4
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Expanding the Medical Decathlon dataset: segmentation of colon and colorectal cancer from computed tomography imagesCode0
MSA^2Net: Multi-scale Adaptive Attention-guided Network for Medical Image SegmentationCode2
Adaptive Mix for Semi-Supervised Medical Image Segmentation0
Robust Box Prompt based SAM for Medical Image Segmentation0
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
Distribution-Aware Replay for Continual MRI Segmentation0
Dense Self-Supervised Learning for Medical Image Segmentation0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Few-Shot Medical Image Segmentation with Large Kernel Attention0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation0
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Topology-Preserving Downsampling of Binary ImagesCode0
Segmentation by registration-enabled SAM prompt engineering using five reference imagesCode0
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation0
Navigating Uncertainty in Medical Image Segmentation0
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation0
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM0
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing RatesCode1
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image SegmentationCode1
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection0
Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach0
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Segmenting Medical Images with Limited DataCode0
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
SliceMamba with Neural Architecture Search for Medical Image Segmentation0
Weakly-supervised Medical Image Segmentation with Gaze AnnotationsCode1
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation0
Swin SMT: Global Sequential Modeling in 3D Medical Image SegmentationCode1
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-maskingCode1
ProtoSAM: One-Shot Medical Image Segmentation With Foundational ModelsCode1
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Self-Paced Sample Selection for Barely-Supervised Medical Image SegmentationCode0
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation0
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation0
Semi-Supervised Segmentation via Embedding Matching0
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95Unverified
2EffiSegNet-B5mean Dice0.95Unverified
3EffiSegNet-B4mean Dice0.95Unverified
4SegMedmean Dice0.95Unverified
5FCB Formermean Dice0.94Unverified
6FCB-SwinV2 Transformermean Dice0.94Unverified
7SEPmean Dice0.94Unverified
8LM-Netmean Dice0.94Unverified
9RAPUNetmean Dice0.94Unverified
10FCBFormermean Dice0.94Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97Unverified
2RAPUNetmean Dice0.96Unverified
3EMCADmean Dice0.95Unverified
4Yolo-SAM 2mean Dice0.95Unverified
5RaBiTmean Dice0.95Unverified
6UGCANetmean Dice0.95Unverified
7ESFPNet-Lmean Dice0.95Unverified
8FCBFormermean Dice0.95Unverified
9DuATmean Dice0.95Unverified
10SegMedmean Dice0.95Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95Unverified
2DUCK-Netmean Dice0.94Unverified
3EMCADmean Dice0.92Unverified
4SegMedmean Dice0.92Unverified
5UniNetmean Dice0.92Unverified
6ProMISemean Dice0.87Unverified
7Meta-Polypmean Dice0.87Unverified
8ResUNet++ + TTAmean Dice0.85Unverified
9PVT-GCASCADEmean Dice0.83Unverified
10PVT-CASCADEmean Dice0.83Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96Unverified
2SegMedmean Dice0.94Unverified
3DUCK-Netmean Dice0.94Unverified
4EMCADmean Dice0.92Unverified
5ProMISemean Dice0.84Unverified
6RSAFormermean Dice0.84Unverified
7ESFPNet-Lmean Dice0.82Unverified
8DuATmean Dice0.82Unverified
9PVT-CASCADEmean Dice0.8Unverified
10SSFormer-Lmean Dice0.8Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66Unverified
2Medical SAM AdapterAvg DSC89.8Unverified
3MedSegDiff-v2Avg DSC89.5Unverified
4nnUNetAvg DSC88.8Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76Unverified
6MISTAvg DSC86.92Unverified
7nnFormerAvg DSC86.57Unverified
8AgileFormerAvg DSC86.11Unverified
9MERITAvg DSC84.9Unverified
10Automatic AI-SAMAvg DSC84.21Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26Unverified
2Interactive AI-SAM gt boxAvg DSC93.89Unverified
3FCTAvg DSC93.02Unverified
4LHU-NetAvg DSC92.65Unverified
5MISTAvg DSC92.56Unverified
6MERITAvg DSC92.32Unverified
7MERIT-GCASCADEAvg DSC92.23Unverified
8EMCADAvg DSC92.12Unverified
9nnFormerAvg DSC92.06Unverified
10Automatic AI-SAMAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified