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Segmentation

Papers

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Showing 8201–8225 of 13072 papers

TitleStatusHype
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net—0
UCP-Net: Unstructured Contour Points for Instance Segmentation—0
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization—0
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography—0
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI—0
3D Dental model segmentation with graph attentional convolution network—0
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT—0
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation—0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network—0
DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos—0
Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks—0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation—0
Deep Learning for Multi-View Ultrasonic Image Fusion—0
Improving Building Segmentation for Off-Nadir Satellite Imagery—0
Self-supervised Tumor Segmentation through Layer Decomposition—0
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-RaysCode0
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review—0
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms—0
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation—0
(M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation—0
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information TransitionCode0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—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