Multi-atlas segmentation for echocardiographic detection of aortic stenosis

5CP23-16

Authors

Author Biographies

Elda Betsabé Pérez Martínez, Autonomous University of Ciudad Juárez

PhD Student in Technology, Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, UACJ, Mexico

David Luviano Cruz, Autonomous University of Ciudad Juarez

Professor-researcher, Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, UACJ, Mexico

Vianey Torres Argüelles, Autonomous University of Ciudad Juarez

Professor-researcher, Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, UACJ, Mexico

Rafael García León, Regional Hospital Dr. Valentin Gómez Farías

Cardiothoracic Surgery Specialist, Cardiothoracic Surgery Unit, Dr. Valentín Gómez Farías Regional Hospital, El Capullo, Zapopan Jalisco, Mexico

Published

2023-05-28

How to Cite

[1]
E. B. Pérez Martínez, D. Luviano Cruz, V. . Torres Argüelles, and R. García León, “Multi-atlas segmentation for echocardiographic detection of aortic stenosis: 5CP23-16”, Mem. Científ. y Tecnol., vol. 2, no. 1, pp. 32–33, May 2023.

Issue

Section

5o Coloquio de Posgrados del IIT