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 401450 of 2089 papers

TitleStatusHype
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image SegmentationCode1
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model0
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationCode0
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation0
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation0
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis0
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM0
Curriculum Prompting Foundation Models for Medical Image SegmentationCode0
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image SegmentationCode1
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging0
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
LV-UNet: A Lightweight and Vanilla Model for Medical Image SegmentationCode1
Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach0
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable SegmentationCode2
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion0
LoG-VMamba: Local-Global Vision Mamba for Medical Image SegmentationCode1
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation0
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images0
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation0
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
Size Aware Cross-shape Scribble Supervision for Medical Image Segmentation0
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels0
Enhancing Cross-Modal Medical Image Segmentation through CompositionalityCode0
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image SegmentationCode0
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationCode2
A Short Review and Evaluation of SAM2's Performance in 3D CT Image SegmentationCode3
SAM-UNet:Enhancing Zero-Shot Segmentation of SAM for Universal Medical ImagesCode1
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment0
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models0
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image SegmentationCode3
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image SegmentationCode1
Gradient Alignment Improves Test-Time Adaptation for Medical Image SegmentationCode1
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality CollaborationCode2
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image SegmentationCode1
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models0
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM20
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and MoreCode5
Is SAM 2 Better than SAM in Medical Image Segmentation?0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Interactive 3D Medical Image Segmentation with SAM 2Code1
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
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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