Theoretical Computer Science and General Issues

Biomedical Applications Based on Natural and Artificial Computing

International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II

Editors: Ferrández, J.M., Álvarez-Sánchez, J.R., de la Paz, F., Toledo Moreo, J., Adeli, H. (Eds.)

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  • ISBN 978-3-319-59773-7
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About this book

The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017.

The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications.

The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.

Table of contents (56 chapters)

  • Automatic Detection of Blood Vessels in Retinal OCT Images

    Moura, Joaquim (et al.)

    Pages 3-10

  • Emergency Department Readmission Risk Prediction: A Case Study in Chile

    Artetxe, Arkaitz (et al.)

    Pages 11-20

  • Vowel Articulation Distortion in Parkinson’s Disease

    Gómez-Vilda, P. (et al.)

    Pages 21-31

  • Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer Database

    Fombellida, J. (et al.)

    Pages 32-41

  • Ongoing Work on Deep Learning for Lung Cancer Prediction

    Echaniz, Oier (et al.)

    Pages 42-48

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-59773-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $107.00
price for USA
  • ISBN 978-3-319-59772-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Biomedical Applications Based on Natural and Artificial Computing
Book Subtitle
International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II
Editors
  • José Manuel Ferrández
  • José Ramón Álvarez-Sánchez
  • Félix de la Paz
  • Javier Toledo Moreo
  • Hojjat Adeli
Series Title
Theoretical Computer Science and General Issues
Series Volume
10338
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-59773-7
DOI
10.1007/978-3-319-59773-7
Softcover ISBN
978-3-319-59772-0
Edition Number
1
Number of Pages
XXI, 562
Number of Illustrations and Tables
214 b/w illustrations
Topics