Machine Learning and Medical Engineering
- Tapa blanda: 232 páginas
- Editor: Springer; Edición: 1st ed. 2019 (13 de octubre de 2019)
- Colección: Lecture Notes in Computer Science
- Idioma: Inglés
- ISBN-10: 3030333264
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.