Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 140-142.
• Pattern Recognition & Image Processing • Previous Articles Next Articles
LI Shu-tong,XIAO Bin,LI Wei-sheng,WANG Guo-yin
CLC Number:
| [1]BARNES D E,YAFFE K.The projected effect of risk factor reduction on Alzheimer’s disease prevalence[J].Alzheimers & Dementia the Journal of the Alzheimers Association,2011,10(9):819.<br /> [2]CHANG C C,LIN C J.LIBSVM:A library for support vector machines[J].ACM,2011,2(3):1-27.<br /> [3]CHAN T H,JIA K,GAO S,et al.PCANet:A Simple Deep Learning Baseline for Image Classification?[J].IEEE Transactions on Image Processing,2015,24(12):5017-5032.<br /> [4]CLARK C M,DAVATZIKOS C,BORTHAKUR A,et al.Biomarkers for Early Detection of Alzheimer Pathology[J].Neurosignals,2007,16(1):11-18.<br /> [5]GUPTA A,MAIDA A S,AYHAN M.Natural Image Bases to Represent Neuroimaging Data[C]∥International Conference on Machine Learning.2013:987-994.<br /> [6]CHOI H,JIN K H.Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging[J].Behavioral Brain Research,2017,344:103-109.<br /> [7]HOSSEINIASL E,GIMEL’FARB G,ELBAZ A.Alzheimer’s Disease Diagnostics by a Deeply Supervised Adaptable 3D Con-volutional Network[J].Front Biosci,2018,23:584-596.<br /> [8]JANOUOV E,VOUNOU M,WOLZ R,et al.Biomarker discovery for sparse classification of brain images in Alzheimer’s disease.Neurology Neurosurgery Neurosciences,2012,2012(2):1-11.<br /> [9]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet Classification with Deep Convolutional Neural Networks[J].Advances in Neural Information Processing Systems,2012,25(2):2012.<br /> [10]MA J,SHERIDAN R P,LIAW A,et al.Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships[J].Journal of Chemical Information & Modeling,2015,55(2):263-274.<br /> [11]MRIcron[OL].http://www.nitrc.org/projects/mricron.<br /> [12]BATMANGHELICH N,TASKAR B,DAVATZIKOS C.A general and unifying framework for feature construction,in image-based pattern classification[C]∥Information Processing in Medical Imaging.Springer,2009:423-434.<br /> [13]PAYAN A,MONTANA G.Predicting Alzheimer’s disease:a neuroimaging study with 3D convolutional neural networks[J].arXiv:1502.02506V1.<br /> [14]SAINATH T N,MOHAMED A R,KINGSBURY B,et al.Deep convolutional neural networks for LVCSR[C]∥IEEE Iternational Conference on Acoustics.2013:8614-8618.<br /> [15]LIU S Q,LIU S D,CAI W D,et al.Early diagnosis of Alzheimer’sdisease with deep learning[C]∥2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).IEEE,2014:1015-1018.<br /> [16]TONG T,WOLZ R,GAO Q,et al.Multiple instance learning for classification of dementia in brain MRI[J].Medical Image Analysis,2013,16(Pt 2):599-606.<br /> [17]YANG W L,LUI R L M,GAO J H,et al.Independent component analysis-based classification of Alzheimer’s disease MRI data[J].Journal of Alzheimer’s Disease,2011,24(4):775-783.<br /> [18]WOLZ R,JULKUNEN V,KOIKKALAINEN J,et al.Multi- method analysis of MRI images in early diagnostics of Alzheimer’s disease[J].Plos One,2011,6(10):e25446.<br /> [19]YIANNOPOULOU K G,PAPAGEORGIOU S G.Current and future treatments for Alzheimer’s disease[J].Therapeutic Advances in Neurological Disorders,2013,6(1):19-33. |
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