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Segmentation

Papers

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Showing 8876–8900 of 13072 papers

TitleStatusHype
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans—0
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity—0
Dense cellular segmentation for EM using 2D–3D neural network ensemblesCode0
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers—0
AINet+: Advancing Superpixel Segmentation via Cascaded Association Implantation—0
Leveraging 3D Information in Unsupervised Brain MRI Segmentation—0
Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion—0
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing—0
Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation—0
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction—0
Global-Local Propagation Network for RGB-D Semantic Segmentation—0
Learning-Based Patch-Wise Metal Segmentation with Consistency Check—0
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware—0
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization—0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms—0
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation—0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net—0
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning—0
Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images—0
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection—0
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma—0
Fire Threat Detection From Videos with Q-Rough Sets—0
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes—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