Image Classification of Stroke Blood Clot Origin using Deep
  Convolutional Neural Networks and Visual Transformers
David Azatyan
Stroke is one of two main causes of death worldwide. Many individuals suffer
from ischemic stroke every year. Only in US more over 700,000 individuals meet
ischemic stroke due to blood clot blocking an artery to the brain every year.
The paper describes particular approach how to apply Artificial Intelligence
for purposes of separating two major acute ischemic stroke (AIS) etiology
subtypes: cardiac and large artery atherosclerosis. Four deep neural network
architectures and simple ensemble method are used in the approach.