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 18011850 of 2089 papers

TitleStatusHype
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image SegmentationCode0
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging SegmentationCode0
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image SegmentationCode0
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningCode0
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image SegmentationCode0
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentationCode0
Deep Attentive Features for Prostate Segmentation in 3D Transrectal UltrasoundCode0
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationCode0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image SegmentationCode0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image SegmentationCode0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac SegmentationCode0
PocketNet: A Smaller Neural Network for Medical Image AnalysisCode0
Data augmentation using learned transformations for one-shot medical image segmentationCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic ModelCode0
Medical Image Segmentation Using Directional Window AttentionCode0
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference EnginesCode0
Automated Segmentation and Connectivity Analysis for Normal Pressure HydrocephalusCode0
Medical Image Segmentation Using Deep Learning: A SurveyCode0
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image SegmentationCode0
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
Predictive Accuracy-Based Active Learning for Medical Image SegmentationCode0
MedAI: Transparency in Medical Image SegmentationCode0
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contextsCode0
Mci-net: multi-scale context integrated network for liver ct image segmentationCode0
Autofocus Layer for Semantic SegmentationCode0
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image SegmentationCode0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image SegmentationCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation ModelsCode0
Autoadaptive Medical Segment Anything ModelCode0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel SegmentationCode0
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI SegmentationCode0
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separationCode0
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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