Happy Holidays—Our $30 Gift Card just for you, and books ship free! Shop now>>

Image Processing, Computer Vision, Pattern Recognition, and Graphics

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting

First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Editors: Liao, H., Balocco, S., Wang, G., Zhang, F., Liu, Y., Ding, Z., Duong, L., Phellan, R., Zahnd, G., Breininger, K., Albarqouni, S., Moriconi, S., Lee, S.-L., Demirci, S. (Eds.)

Free Preview

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-33327-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-33326-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases. 

CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures. 

Table of contents (24 chapters)

Table of contents (24 chapters)
  • Arrhythmia Classification with Attention-Based Res-BiLSTM-Net

    Pages 3-10

    Huang, Chengbin (et al.)

  • A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs

    Pages 11-19

    Zhu, Jinjing (et al.)

  • An Ensemble Neural Network for Multi-label Classification of Electrocardiogram

    Pages 20-27

    Jia, Dongya (et al.)

  • Automatic Diagnosis with 12-Lead ECG Signals

    Pages 28-35

    Wang, Ke (et al.)

  • Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks

    Pages 36-44

    Yuan, Binhang (et al.)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-33327-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-33326-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
Book Subtitle
First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors
  • Hongen Liao
  • Simone Balocco
  • Guijin Wang
  • Feng Zhang
  • Yongpan Liu
  • Zijian Ding
  • Luc Duong
  • Renzo Phellan
  • Guillaume Zahnd
  • Katharina Breininger
  • Shadi Albarqouni
  • Stefano Moriconi
  • Su-Lin Lee
  • Stefanie Demirci
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11794
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33327-0
DOI
10.1007/978-3-030-33327-0
Softcover ISBN
978-3-030-33326-3
Edition Number
1
Number of Pages
XVII, 212
Number of Illustrations
15 b/w illustrations, 68 illustrations in colour
Topics