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 801850 of 2089 papers

TitleStatusHype
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) DecoderCode1
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation0
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationCode1
Trust, but Verify: Robust Image Segmentation using Deep Learning0
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image SegmentationCode1
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks0
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency ModelingCode0
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation0
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
Whole-brain radiomics for clustered federated personalization in brain tumor segmentationCode0
Medical Image Segmentation via Sparse Coding Decoder0
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors0
3D TransUNet: Advancing Medical Image Segmentation through Vision TransformersCode4
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation0
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images0
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
TransCC: Transformer Network for Coronary Artery CCTA Segmentation0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator0
Certification of Deep Learning Models for Medical Image SegmentationCode0
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models0
Randomized Dimension Reduction with Statistical Guarantees0
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation0
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation0
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
A Foundation Model for General Moving Object Segmentation in Medical ImagesCode0
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
fastMONAI: A low-code deep learning library for medical image analysisCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for EchocardiographyCode1
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation0
FP-PET: Large Model, Multiple Loss And Focused Practice0
Performance Analysis of UNet and Variants for Medical Image Segmentation0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors0
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-trainingCode0
More complex encoder is not all you needCode0
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image SegmentationCode1
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation0
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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