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 10511100 of 2089 papers

TitleStatusHype
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation0
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Segment Anything in Medical ImagesCode4
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation ModelCode1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image SegmentationCode1
Segment Anything Model for Medical Image Analysis: an Experimental StudyCode1
Few-shot Medical Image Segmentation via Cross-Reference Transformer0
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation0
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
UniverSeg: Universal Medical Image SegmentationCode2
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Scale-Equivariant Deep Learning for 3D DataCode0
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and AggregationCode2
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model0
Self-training with dual uncertainty for semi-supervised medical image segmentation0
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation0
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
Transformer Utilization in Medical Image Segmentation Networks0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation0
Marginal Thresholding in Noisy Image Segmentation0
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation LearnerCode1
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation0
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsCode1
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation0
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
U-Netmer: U-Net meets Transformer for medical image segmentation0
Noisy Image Segmentation With Soft-Dice0
Learning Robust Medical Image Segmentation from Multi-source Annotations0
PCCA-Model: an attention module for medical image segmentation0
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization0
Directional Connectivity-based Segmentation of Medical ImagesCode1
Learning with Explicit Shape Priors for Medical Image SegmentationCode1
Dual Cross-Attention for Medical Image SegmentationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
Fair Federated Medical Image Segmentation via Client Contribution Estimation0
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image SegmentationCode1
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation0
Medical Image Analysis using Deep Relational Learning0
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
Inherent Consistent Learning for Accurate Semi-supervised Medical Image SegmentationCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
Orthogonal Annotation Benefits Barely-supervised Medical Image SegmentationCode1
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
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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
9SegMedmean Dice0.95Unverified
10DuATmean 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
9Automatic AI-SAMAvg DSC92.06Unverified
10nnFormerAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified