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1Conference
المؤلفون: Türkan, Yasemin, Tek, Faik Boray
مصطلحات موضوعية: 3D Modeling, 3D Structural MRI brain scans, 3D Ultrametric contour map, 3D VGG model, 3D-Data interpretation capabilities, Activation analysis, Activation mapping, Alzheimer’s disease, Alzheimers disease, Attention, Attention mechanism, Biomedical MRI, Brain, Chemical activation, Classification (of information), Cognition, Contour map, Convolution, Convolutional attention network, Convolutional networks, Convolutional neural networks, Deep learning, Deep learning approaches, Deep neural networks, Different interpretability methods, Different network models, Diseases, Heating systems, High-dimensional neuroimaging data, Image classification
وصف الملف: application/pdf
Relation: 2021 6th International Conference on Computer Science and Engineering (UBMK); Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; Türkan, Y. & Tek, F. B. (2021). Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis. Paper presented at the 2021 6th International Conference on Computer Science and Engineering (UBMK), 151-156. doi:10.1109/UBMK52708.2021.9558882; https://hdl.handle.net/11729/4351; http://dx.doi.org/10.1109/UBMK52708.2021.9558882; 151; 156; 2-s2.0-85125875116; N/A
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2
المؤلفون: F. Boray Tek, Yasemin Turkan
المساهمون: Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Computer Engineering, Türkan, Yasemin, Tek, Faik Boray
المصدر: 2021 6th International Conference on Computer Science and Engineering (UBMK).
مصطلحات موضوعية: Convolutional attention network, Learning (artificial intelligence), MRI-based Alzheimer, Neuroimaging techniques, Computer science, Neural nets, Diseases, Cognition, Biomedical MRI, 3D Modeling, Deep neural networks, Attention, Interpretability, Visualization, Network model, Classification (of information), Interpretability analysis, medicine.diagnostic_test, Occlusion, Activation mapping, Neurodegenerative diseases, Contour map, Brain, Shapley, Chemical activation, Different interpretability methods, Mild cognitive impairments, Mapping, Shapley additive explanation, Positron emission tomography, SHAP, Three-dimensional displays, Convolutional neural networks, Multimodal neuroimaging data, Alzheimer’s disease, Convolutional networks, MRI, Image classification, Attention mechanism, Neurophysiology, High-dimensional neuroimaging data, Neuroimaging, Deep learning approaches, Magnetic resonance imaging, Different network models, Ultrametrics, medicine, Medical image processing, 3D-Data interpretation capabilities, business.industry, Mechanism (biology), Activation analysis, Deep learning, 3D VGG model, Pattern recognition, Heating systems, Convolution, Alzheimers disease, 3D Structural MRI brain scans, 3D Ultrametric contour map, Solid modeling, Artificial intelligence, business
وصف الملف: application/pdf