Patent ID: 11941811
Assignee: CHINA MEDICAL UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method for assessing cardiothoracic ratio of claim 1, further comprising:
performing a model establishing step, and the model establishing step comprising:
providing a reference X-ray image database, wherein the reference X-ray image database comprises a plurality of reference X-ray image datasets;
performing a first reference image data classifying step, wherein each of the reference X-ray image datasets is classified by the first deep learning neural network classifier so as to obtain a plurality of training chest X-ray image data, and each of the training chest X-ray image data comprises a PA chest X-ray image data or an AP chest X-ray image data;
performing a second reference image data classifying step, wherein the training chest X-ray image data are classified by the second deep learning neural network classifier so as to obtain a plurality of training PA chest X-ray image data; and
performing a reference feature extracting step, wherein a diameter of thoracic cavity and a diameter of cardiac silhouette of each of the training chest X-ray image data are captured automatically and then trained to achieve a convergence by a deep learning calculating module so as to obtain the third deep learning neural network classifier.