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 101150 of 2089 papers

TitleStatusHype
MSA^2Net: Multi-scale Adaptive Attention-guided Network for Medical Image SegmentationCode2
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI ImagesCode2
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical ImagesCode2
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable SegmentationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imagingCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future DirectionsCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
Generative Medical SegmentationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
Segmentation Loss OdysseyCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Active learning for medical image segmentation with stochastic batchesCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image SegmentationCode1
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image SegmentationCode1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!Code1
A context based deep learning approach for unbalanced medical image segmentationCode1
AI-SAM: Automatic and Interactive Segment Anything ModelCode1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation DatasetCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
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
Benchmarking saliency methods for chest X-ray interpretationCode1
Show:102550
← PrevPage 3 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
4RaBiTmean Dice0.95Unverified
5Yolo-SAM 2mean 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