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 151200 of 2089 papers

TitleStatusHype
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time AugmentationCode1
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image SegmentationCode1
Clustering Propagation for Universal Medical Image SegmentationCode1
Interactive 3D Medical Image Segmentation with SAM 2Code1
Annotation-efficient deep learning for automatic medical image segmentationCode1
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time SegmentationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Disentangling Human Error from Ground Truth in Segmentation of Medical ImagesCode1
Disentangling Human Error from the Ground Truth in Segmentation of Medical ImagesCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 ChallengeCode1
Brain Tumor Segmentation with Deep Neural NetworksCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspectiveCode1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image SegmentationCode1
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice AttentionCode1
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsCode1
Boundary-Aware Network for Kidney ParsingCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
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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