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 14511500 of 2089 papers

TitleStatusHype
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations0
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation0
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes0
Scalable Neural Architecture Search for 3D Medical Image Segmentation0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation0
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions0
Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition0
Screen Content Image Segmentation Using Sparse-Smooth Decomposition0
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation0
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation0
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging0
SegMatch: A semi-supervised learning method for surgical instrument segmentation0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification0
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation0
Segmentation of Microscopy Data for finding Nuclei in Divergent Images0
Segmentation Quality and Volumetric Accuracy in Medical Imaging0
Segmenting Brain Tumors with Symmetry0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation0
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations0
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation0
Self-Supervised Alignment Learning for Medical Image Segmentation0
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout0
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation0
Self-training with dual uncertainty for semi-supervised medical image segmentation0
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation0
Semantic Image Segmentation: Two Decades of Research0
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models0
Show:102550
← PrevPage 30 of 42Next →

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