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 13511400 of 2089 papers

TitleStatusHype
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium SegmentationCode0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation0
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images0
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder0
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation0
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation0
Compositionally Equivariant Representation Learning0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms0
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
Unsupervised augmentation optimization for few-shot medical image segmentation0
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip ArthroplastyCode0
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation0
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans0
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
Transformer-based Annotation Bias-aware Medical Image SegmentationCode0
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation ModelsCode0
Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images0
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationCode0
Attention Mechanisms in Medical Image Segmentation: A Survey0
Trustworthy Deep Learning for Medical Image Segmentation0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation0
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation0
An image segmentation algorithm based on multi-scale feature pyramid network0
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation0
Learning to Learn Unlearned Feature for Brain Tumor Segmentation0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Mci-net: multi-scale context integrated network for liver ct image segmentationCode0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques0
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation0
SCOPE: Structural Continuity Preservation for Medical Image 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