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
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels0
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement0
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
Medical Image Segmentation with Belief Function Theory and Deep Learning0
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation0
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel SegmentationCode0
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image SegmentationCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image SegmentationCode0
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation0
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data0
M3D-NCA: Robust 3D Segmentation with Built-in Quality ControlCode1
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp SegmentationCode1
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
Unsupervised bias discovery in medical image segmentationCode0
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
Shape of my heart: Cardiac models through learned signed distance functions0
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-LearningCode1
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image SegmentationCode0
SAM-Med2DCode3
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation0
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars0
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation0
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
Tumor-Centered Patching for Enhanced Medical Image Segmentation0
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image SegmentationCode1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation DatasetCode1
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders0
False Negative/Positive Control for SAM on Noisy Medical ImagesCode1
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks0
DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps SegmentationCode0
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic SegmentationCode0
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
Self-Prompting Large Vision Models for Few-Shot Medical Image SegmentationCode1
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global PixelsCode1
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets0
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?Code1
CATS v2: Hybrid encoders for robust medical segmentationCode0
Show:102550
← PrevPage 18 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