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 14011450 of 2089 papers

TitleStatusHype
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation0
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation0
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation0
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
Few-shot Medical Image Segmentation via Cross-Reference Transformer0
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
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
Scale-Equivariant Deep Learning for 3D DataCode0
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model0
Self-training with dual uncertainty for semi-supervised medical image segmentation0
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
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation0
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
Noisy Image Segmentation With Soft-Dice0
U-Netmer: U-Net meets Transformer for medical image segmentation0
Learning Robust Medical Image Segmentation from Multi-source Annotations0
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization0
PCCA-Model: an attention module for medical image segmentation0
Fair Federated Medical Image Segmentation via Client Contribution Estimation0
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
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation0
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid SegmentationCode0
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryCode0
Spatial Correspondence between Graph Neural Network-Segmented Images0
Token Sparsification for Faster Medical Image SegmentationCode0
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions0
Explainable Semantic Medical Image Segmentation with Style0
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI ScansCode0
CANet: Context aware network with dual-stream pyramid for medical image segmentationCode0
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation0
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation0
nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources0
Patch Network for medical image Segmentation0
PLU-Net: Extraction of multi-scale feature fusion0
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning0
Non-pooling Network for medical image segmentation0
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism0
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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