Automatic Interpretation of Carotid Intima–Media Thickness Videos Using Convolutional Neural Networks
Nima Tajbakhsh⁎; Jae Y. Shin⁎; R. Todd Hurst†; Christopher B. Kendall†; Jianming Liang⁎ ⁎Arizona State University, Scottsdale, AZ, United States†Mayo Clinic, Scottsdale, AZ, United States
Abstract
Cardiovascular disease (CVD) is the leading cause of death in the United States, yet it is largely preventable. But a critical part of prevention is identification of at-risk persons before adverse events. For predicting individual CVD risk, carotid intima–media thickness (CIMT), a noninvasive ultrasonography method, has proven to be valuable. However, each CIMT examination includes several ultrasonography videos, and interpreting ...
Get Deep Learning for Medical Image Analysis now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
