Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
Buch
- 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
- Herausgeber: Hongen Liao, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Luc Duong, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Stefanie Demirci, Renzo Phellan, Guillaume Zahnd
- Springer International Publishing, 10/2019
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783030333263
- Bestellnummer: 10136682
- Umfang: 232 Seiten
- Nummer der Auflage: 19001
- Auflage: 1st ed. 2019
- Gewicht: 359 g
- Maße: 235 x 155 mm
- Stärke: 12 mm
- Erscheinungstermin: 13.10.2019
- Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics - Band 11794
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.