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 501550 of 2089 papers

TitleStatusHype
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce RegimesCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT ScansCode1
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic SegmentationCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Gradient-based Parameter Selection for Efficient Fine-TuningCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation DatasetCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image AnalysisCode1
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentationCode1
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Gradient Alignment Improves Test-Time Adaptation for Medical Image SegmentationCode1
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
GazeSAM: What You See is What You SegmentCode1
Gaze-Assisted Medical Image SegmentationCode1
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI DataCode1
Frequency-mixed Single-source Domain Generalization for Medical Image SegmentationCode1
Densely Connected Convolutional NetworksCode1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
Benchmarking saliency methods for chest X-ray interpretationCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image SegmentationCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
Focal-UNet: UNet-like Focal Modulation for Medical Image SegmentationCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-maskingCode1
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!Code1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp SegmentationCode1
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image SegmentationCode1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D NetworksCode1
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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