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 20012050 of 2089 papers

TitleStatusHype
Deep feature transfer between localization and segmentation tasks0
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scansCode0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
LadderNet: Multi-path networks based on U-Net for medical image segmentationCode0
A Novel Domain Adaptation Framework for Medical Image Segmentation0
UOLO - automatic object detection and segmentation in biomedical images0
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?0
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation0
Modern Convex Optimization to Medical Image Analysis0
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks0
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes0
Segmentation of Microscopy Data for finding Nuclei in Divergent Images0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation0
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck AnatomyCode0
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks0
Automatically Designing CNN Architectures for Medical Image Segmentation0
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic SegmentationCode0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network0
Learning to Segment Medical Images with Scribble-Supervision Alone0
Prostate Segmentation using 2D Bridged U-net0
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model0
Contextual Hourglass Networks for Segmentation and Density Estimation0
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation0
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy ImagesCode0
Learn the new, keep the old: Extending pretrained models with new anatomy and images0
Autofocus Layer for Semantic SegmentationCode0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images0
Constrained-CNN losses for weakly supervised segmentationCode0
Combo Loss: Handling Input and Output Imbalance in Multi-Organ SegmentationCode0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning0
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning0
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound0
Towards whole-body CT Bone Segmentation0
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection0
Deep learning and its application to medical image segmentation0
Factorised spatial representation learning: application in semi-supervised myocardial segmentationCode0
An application of cascaded 3D fully convolutional networks for medical image segmentationCode0
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographsCode0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation0
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers0
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground TruthCode0
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentationCode0
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation0
Detection-aided liver lesion segmentation using deep learningCode0
Show:102550
← PrevPage 41 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
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