Graph of brain structures grading for early detection of Alzheimer's disease
| العنوان: | Graph of brain structures grading for early detection of Alzheimer's disease |
|---|---|
| المؤلفون: | Kilian Hett, Vinh-Thong Ta, Jose Vicente Manjon, Pierrick Coupe |
| المساهمون: | Laboratoire Bordelais de Recherche en Informatique (LaBRI), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Bordeaux (Bordeaux INP), ITACA, Universidad Politécnica de Valencia, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Universitat Politècnica de València (UPV) |
| المصدر: | Medical Image Computing and Computer-Assisted Intervention (MICCAI) Medical Image Computing and Computer-Assisted Intervention (MICCAI), Sep 2018, GRANADA, Spain HAL |
| بيانات النشر: | HAL CCSD, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Computer Science - Machine Learning, Mild Cognitive Impairment, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (stat.ML), Alzheimer's disease classification, Machine Learning (cs.LG), Intra-subject variability, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Statistics - Machine Learning, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Inter-subject simi- larity, Patch-based grading, Inter-subject similarity |
| الوصف: | International audience; Alzheimer's disease is the most common dementia leading to an irreversible neurodegenerative process. To date, subject revealed advanced brain structural alterations when the diagnosis is established. Therefore, an earlier diagnosis of this dementia is crucial although it is a challenging task. Recently, many studies have proposed biomarkers to perform early detection of Alzheimer's disease. Some of them have proposed methods based on inter-subject similarity while other approaches have investigated framework using intra-subject variability. In this work, we propose a novel framework combining both approaches within an efficient graph of brain structures grading. Subsequently, we demonstrate the competitive performance of the proposed method compared to state-of-the-art methods. |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98fbb16c7b74e6836a690e3423f91ee8 https://hal.archives-ouvertes.fr/hal-01830896 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....98fbb16c7b74e6836a690e3423f91ee8 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |