Method and apparatus for assisting diagnosis of cardioembolic stroke by using chest radiographic images

A method for assisting diagnosis of cardioembolic stroke, in which the method is performed by a processor and is to assist diagnosis of cardioembolic stroke by using chest radiographic images, comprising:

• acquiring chest radiographic images to be classified of a subject;
• and generating cardioembolic stroke auxiliary information from the chest radiographic images to be classified of the subject by using a neural network model;
• wherein the neural network model is configured to extract features from the chest radiographic images to be classified of the subject, and determine, based on the extracted features, whether the subject belongs to a group indicative of having cardioembolic stroke,
• wherein the neural network model is trained, using a plurality of training samples, to classify chest radiographic images into a cardioembolic stroke group and a non-cardioembolic stroke group, and
• wherein each of the plurality of training samples includes a chest radiographic image for training and label information thereof.