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 201250 of 2089 papers

TitleStatusHype
Coarse-to-Fine Covid-19 Segmentation via Vision-Language AlignmentCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
CateNorm: Categorical Normalization for Robust Medical Image SegmentationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Continual Hippocampus Segmentation with TransformersCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Attention U-Net: Learning Where to Look for the PancreasCode1
Attentive Symmetric Autoencoder for Brain MRI SegmentationCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
Annotation-efficient deep learning for automatic medical image segmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Interactive 3D Medical Image Segmentation with SAM 2Code1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray imagesCode1
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image SegmentationCode1
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image SegmentationCode1
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
AI-SAM: Automatic and Interactive Segment Anything ModelCode1
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETRCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Dual Cross-Attention for Medical Image SegmentationCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
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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
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