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Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection
Kun Lan3; Liansheng Liu2; Tengyue Li3; Yuhao Chen3; Simon Fong3; Joao Alexandre Lobo Marques4; Raymond K. Wong5; Rui Tang1
2020-02-20
Source PublicationNeural Computing and Applications
ISSN0941-0643
Volume32Issue:19Pages:15469-15488
Abstract

As the core of deep learning methodologies, convolutional neural network (CNN) has received wide attention in the area of image recognition. In particular, it requires very precise, accurate and fine recognition power for medical imaging processing. Numerous promising prospects of CNN applications with medical prognosis and diagnosis have been reported in the related works, and the common goal among the literature is mainly to analyze the insights from the finest details of medical images and build a more suitable model with maximum accuracy and minimum error. Thus, a novel CNN model is proposed with the characteristics of multi-view feature preprocessing and swarm-based parameter optimization. Additional information of extra features from multi-view is discovered potentially for training, and simultaneously, the most optimal set of CNN parameters are provided by our proposed leader and long-tail-based particle swarm optimization. The purpose of such a hybrid method is to achieve the highest possibility of target recognition in medical images. Preliminary experiments over cardiovascular and mammogram datasets related to heart disease prediction and breast cancer classification, respectively, are designed and conducted, and the results indicate encouraging performance compared to other existing CNN model optimization methods.

KeywordConvolutional Neural Network Leader And Long-tail Particle Swarm Optimization Parameter Optimization Heart Disease Breast Cancer
DOI10.1007/s00521-020-04769-y
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000516485900003
PublisherSPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND
Scopus ID2-s2.0-85079821730
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorRui Tang
Affiliation1.Department of Management Science and Information System,Faculty of Management and Economics,Kunming University of Science and Technology,Kunming,China
2.Department of Medical Imaging,First Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou,China
3.Department of Computer and Information Science,Faculty of Science and Technology,University of Macau,Macao
4.School of Business,University of Saint Joseph,Macao
5.School of Computer Science and Engineering,University of New South Wales,Sydney,Australia
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Kun Lan,Liansheng Liu,Tengyue Li,et al. Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection[J]. Neural Computing and Applications,2020,32(19):15469-15488.
APA Kun Lan,Liansheng Liu,Tengyue Li,Yuhao Chen,Simon Fong,Joao Alexandre Lobo Marques,Raymond K. Wong,&Rui Tang.(2020).Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection.Neural Computing and Applications,32(19),15469-15488.
MLA Kun Lan,et al."Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection".Neural Computing and Applications 32.19(2020):15469-15488.
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