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Segmentation

Papers

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Showing 6726–6750 of 13072 papers

TitleStatusHype
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
Mango Tree Net -- A fully convolutional network for semantic segmentation and individual crown detection of mango trees—0
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
Learning Semantic Segmentation with Diverse Supervision—0
Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans—0
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI—0
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning—0
Client/Server Based Online Environment for Manual Segmentation of Medical Images—0
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Learning Similarity Metrics for Dynamic Scene Segmentation—0
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation—0
Mammogram Edge Detection Using Hybrid Soft Computing Methods—0
Learning Stixel-based Instance Segmentation—0
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?—0
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging—0
Learning Superpixels With Segmentation-Aware Affinity Loss—0
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging—0
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals—0
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation—0
Learning the What and How of Annotation in Video Object Segmentation—0
Deep Learning based Dimple Segmentation for Quantitative Fractography—0
Clickstream analysis for crowd-based object segmentation with confidence—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified