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 851900 of 2089 papers

TitleStatusHype
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation0
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation0
Learn the new, keep the old: Extending pretrained models with new anatomy and images0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model0
An image segmentation algorithm based on multi-scale feature pyramid network0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures0
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation0
Learning to Segment Medical Images with Scribble-Supervision Alone0
Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes0
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation0
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels0
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation0
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation0
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images0
Learning to Segment Skin Lesions from Noisy Annotations0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation0
hidden markov random fields and cuckoo search method for medical image segmentation0
From CNN to Transformer: A Review of Medical Image Segmentation Models0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation0
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation0
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation0
Med-URWKV: Pure RWKV With ImageNet Pre-training For Medical Image Segmentation0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training0
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey0
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss0
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation0
Framework for lung CT image segmentation based on UNet++0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training0
Learning to segment fetal brain tissue from noisy annotations0
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation0
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation0
FP-PET: Large Model, Multiple Loss And Focused Practice0
Uncertainty categories in medical image segmentation: a study of source-related diversity0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation0
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution0
Foundation AI Model for Medical Image Segmentation0
Assessing the Role of Random Forests in Medical Image Segmentation0
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator0
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic 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