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Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling
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
2018
发表期刊JOURNAL OF MEDICAL SYSTEMS
通讯作者邮箱cs_liushuai@imu.edu.cn ; wangsujing@psych.ac.cn ; yudongzhang@ieee.org
ISSN0148-5598
文章类型Article
卷号42期号:1页码:1-11
产权排序5
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.

关键词Alcohol use disorder Data augmentation Convolutional neural network Max pooling Average pooling Stochastic pooling Graphical processing unit
DOI10.1007/s10916-017-0845-x
收录类别SCI
语种英语
项目资助者Natural Science Foundation of China(61602250) ; Natural Science Foundation of Jiangsu Province(BK20150983)
WOS研究方向Health Care Sciences & Services ; Medical Informatics
WOS类目Health Care Sciences & Services ; Medical Informatics
WOS记录号WOS:000422690300002
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]CLASSIFICATION ; TIME
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/26027
专题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.
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