| O. Papadimitriou, A. Kanavos, Ph. Mylonas and M. Maragoudakis |
| Classification of Alzheimer's Disease Subjects from MRI using Deep Convolutional Neural Networks |
| Novel & Intelligent Digital Systems Conference (NiDS 2023), September 28-29, 2023, Athens, Greece |
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ABSTRACT
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| The classification of Alzheimer˘s condition (AD) utilizing deep learning techniques has revealed promising results, yet successful application in medical settings needs a combination of high precision, brief handling time, as well as generalizability to different populations. In this study, we developed a convolutional semantic network (CNN)-based advertisement category algorithm making use of magnetic vibration imaging (MRI) scans from AD people. Our models achieved ordinary locations under the curves of 0.91 - 0.94 for within-dataset recognition and also 0.88 - 0.89 for between-dataset recognition. The convolutional framework is possibly relevant to any 3D photo dataset and also offers the adaptability to design a computer-aided diagnosis system targeting the prediction of a number of clinical problems as well as neuropsychiatric disorders by means of multi-modal imaging and also tabular clinical data.
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| 28 September, 2023 |
| O. Papadimitriou, A. Kanavos, Ph. Mylonas and M. Maragoudakis, "Classification of Alzheimer's Disease Subjects from MRI using Deep Convolutional Neural Networks", Novel & Intelligent Digital Systems Conference (NiDS 2023), September 28-29, 2023, Athens, Greece |
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