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Classification algorithms; Detection algorithms; Description of feature space local structure; Graph communities; Machine learning algorithms; Outlier detectors |
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classification; vessel border modelling; IVUS |
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Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
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CNNs; Data augmentation; Deep learning; Epistemic uncertainty; Image classification; Food recognition |
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co-training; multi-modality; vision-based object detection; ADAS; self-driving |
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Cognitive states; Mental workload; EEG analysis; Neural Networks. |
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Cognitive states; Mental workload; EEG analysis; Neural networks; Multimodal data fusion |
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Cognitive surveillance; Event modeling; Content-based video retrieval; Ontologies; Advanced user interfaces |
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Cognitive vision system; Situation analysis; Applied ontologies |
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Colonoscopy images; Deep Learning; Semantic Segmentation |
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Colonoscopy, Polyp Detection, Polyp Localization, Region Extraction, Watersheds |
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Colonoscopy, Polyp Detection, Region Merging, Region Segmentation. |
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Colonoscopy,PolypDetection,RegionSegmentation,SA-DOVA descriptot |
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Colonoscopy; Blood vessel; Linear features; Valley detection |
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Colonoscopy; Graph Matching; Biometrics; Vessel; Intersection |
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