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 601650 of 2089 papers

TitleStatusHype
Medical Matting: A New Perspective on Medical Segmentation with UncertaintyCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
A multi-centre polyp detection and segmentation dataset for generalisability assessmentCode1
Medical Image Segmentation Using Squeeze-and-Expansion TransformersCode1
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
Swin-Unet: Unet-like Pure Transformer for Medical Image SegmentationCode1
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time SegmentationCode1
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!Code1
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep LearningCode1
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyCode1
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural NetworksCode1
FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationCode1
CateNorm: Categorical Normalization for Robust Medical Image SegmentationCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
U-Net Transformer: Self and Cross Attention for Medical Image SegmentationCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
TransBTS: Multimodal Brain Tumor Segmentation Using TransformerCode1
NeRD: Neural Representation of Distribution for Medical Image SegmentationCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
Semi-supervised Left Atrium Segmentation with Mutual Consistency TrainingCode1
MixSearch: Searching for Domain Generalized Medical Image Segmentation ArchitecturesCode1
Medical Transformer: Gated Axial-Attention for Medical Image SegmentationCode1
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised LearningCode1
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray SegmentationCode1
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT ImagesCode1
TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationCode1
Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT imagesCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image SegmentationCode1
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Annotation-efficient deep learning for automatic medical image segmentationCode1
Disentangling Human Error from Ground Truth in Segmentation of Medical ImagesCode1
Inter-slice Context Residual Learning for 3D Medical Image SegmentationCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspectiveCode1
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningCode1
Learning Euler's Elastica Model for Medical Image SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopyCode1
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
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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