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 551600 of 2089 papers

TitleStatusHype
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentationCode1
Mixed Transformer U-Net For Medical Image SegmentationCode1
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration NetworkCode1
Partial supervision for the FeTA challenge 2021Code1
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited LabelsCode1
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image SegmentationCode1
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive TrainingCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 ChallengeCode1
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
Transfer Learning U-Net Deep Learning for Lung Ultrasound SegmentationCode1
Training on Polar Image Transformations Improves Biomedical Image SegmentationCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
Segmentation with mixed supervision: Confidence maximization helps knowledge distillationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
MISSFormer: An Effective Medical Image Segmentation TransformerCode1
Semi-supervised Contrastive Learning for Label-efficient Medical Image SegmentationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerCode1
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time TrainingCode1
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution ShiftsCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
Efficient Medical Image Segmentation Based on Knowledge DistillationCode1
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsCode1
Towards to Robust and Generalized Medical Image Segmentation FrameworkCode1
Enhancing MR Image Segmentation with Realistic Adversarial Data AugmentationCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Recurrent Mask Refinement for Few-Shot Medical Image SegmentationCode1
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labelsCode1
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time AugmentationCode1
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography ImageCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image SegmentationCode1
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image SegmentationCode1
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image SegmentationCode1
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationCode1
UTNet: A Hybrid Transformer Architecture for Medical Image SegmentationCode1
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image SegmentationCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
SinGAN-Seg: Synthetic training data generation for medical image segmentationCode1
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image SegmentationCode1
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image SegmentationCode1
Quality-Aware Memory Network for Interactive Volumetric Image SegmentationCode1
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement ModelingCode1
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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