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 19512000 of 2089 papers

TitleStatusHype
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous LabelsCode0
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI ScansCode0
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-RaysCode0
Contrastive and Selective Hidden Embeddings for Medical Image SegmentationCode0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ SegmentationCode0
Roughness Index and Roughness Distance for Benchmarking Medical SegmentationCode0
Constrained-CNN losses for weakly supervised segmentationCode0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic SegmentationCode0
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?Code0
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide ImagesCode0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert ConsensusCode0
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentationCode0
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGANCode0
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation ModelsCode0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image SegmentationCode0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided PromptingCode0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryCode0
SAM-aware Test-time Adaptation for Universal Medical Image SegmentationCode0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
Going to Extremes: Weakly Supervised Medical Image SegmentationCode0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic SegmentationCode0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image SegmentationCode0
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal ImagesCode0
From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image SegmentationCode0
Combo Loss: Handling Input and Output Imbalance in Multi-Organ SegmentationCode0
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point PromptsCode0
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image SegmentationCode0
FocusNet: An attention-based Fully Convolutional Network for Medical Image SegmentationCode0
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image SegmentationCode0
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruningCode0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale studyCode0
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass SegmentationCode0
Scale-Equivariant Deep Learning for 3D DataCode0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image SegmentationCode0
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy ImagesCode0
Token Sparsification for Faster Medical Image SegmentationCode0
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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
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