Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling
文献类型:期刊论文
作者 | Wang, Shui-Hua1,2; Lv, Yi-Ding3; Sui, Yuxiu3; Liu, Shuai4; Wang, Su-Jing5; Zhang, Yu-Dong1; Shuai Liu; Su-Jing Wang; Yu-Dong Zhang |
刊名 | JOURNAL OF MEDICAL SYSTEMS |
出版日期 | 2018 |
卷号 | 42期号:1页码:1-11 |
ISSN号 | 0148-5598 |
关键词 | Alcohol use disorder Data augmentation Convolutional neural network Max pooling Average pooling Stochastic pooling Graphical processing unit |
DOI | 10.1007/s10916-017-0845-x |
产权排序 | 5 |
文献子类 | Article |
英文摘要 | Alcohol use disorder (AUD) is an important brain disease. It alters the brain structure. Recently, scholars tend to use computer vision based techniques to detect AUD. We collected 235 subjects, 114 alcoholic and 121 non-alcoholic. Among the 235 image, 100 images were used as training set, and data augmentation method was used. The rest 135 images were used as test set. Further, we chose the latest powerful technique-convolutional neural network (CNN) based on convolutional layer, rectified linear unit layer, pooling layer, fully connected layer, and softmax layer. We also compared three different pooling techniques: max pooling, average pooling, and stochastic pooling. The results showed that our method achieved a sensitivity of 96.88%, a specificity of 97.18%, and an accuracy of 97.04%. Our method was better than three state-of-the-art approaches. Besides, stochastic pooling performed better than other max pooling and average pooling. We validated CNN with five convolution layers and two fully connected layers performed the best. The GPU yielded a 149x acceleration in training and a 166x acceleration in test, compared to CPU. |
WOS关键词 | CLASSIFICATION ; TIME |
WOS研究方向 | Health Care Sciences & Services ; Medical Informatics |
语种 | 英语 |
WOS记录号 | WOS:000422690300002 |
资助机构 | Natural Science Foundation of China(61602250) ; Natural Science Foundation of Jiangsu Province(BK20150983) |
源URL | [http://ir.psych.ac.cn/handle/311026/26027] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
通讯作者 | Shuai Liu; Su-Jing Wang; Yu-Dong Zhang |
作者单位 | 1.Univ Leicester, Dept Informat, Leicester LE1 7RH, Leics, England 2.Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210046, Jiangsu, Peoples R China 3.Nanjing Med Univ, Nanjing Brain Hosp, Dept Psychiat, Nanjing 210029, Jiangsu, Peoples R China 4.Inner Mongolia Univ, Coll Comp Sci, Hohhot 010012, Peoples R China 5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Shui-Hua,Lv, Yi-Ding,Sui, Yuxiu,et al. Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling[J]. JOURNAL OF MEDICAL SYSTEMS,2018,42(1):1-11. |
APA | Wang, Shui-Hua.,Lv, Yi-Ding.,Sui, Yuxiu.,Liu, Shuai.,Wang, Su-Jing.,...&Yu-Dong Zhang.(2018).Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.JOURNAL OF MEDICAL SYSTEMS,42(1),1-11. |
MLA | Wang, Shui-Hua,et al."Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling".JOURNAL OF MEDICAL SYSTEMS 42.1(2018):1-11. |
入库方式: OAI收割
来源:心理研究所
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