Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

Liao, Hongen; Balocco, Simone; Wang, Guijin; Zhang, Feng; Liu, Yongpan; Ding, Zijian; Duong, Luc; Phellan, Renzo; Zahnd, Guillaume

ISBN 10: 3030333264 / ISBN 13: 9783030333263

Published by Springer (edition 1st ed. 2019), 2019

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 3030333264-8-1

Bibliographic Details

• Title: Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
• Publisher: Springer (edition 1st ed. 2019)
• Publication Date: 2019
• Language: English
• ISBN 10: 3030333264
• ISBN 13: 9783030333263
• Binding: Paperback
• Edition: 1st ed. 2019.
• Condition: Very Good

About this title

Synopsis

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.