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

Claim 0:
1. A method for assessing cardiothoracic ratio (CTR), comprising:
providing a testing X-ray image database of a subject;
performing a first image data classifying step, wherein the testing X-ray image database is classified by a first deep learning neural network classifier so as to obtain a testing chest X-ray image data, and the testing chest X-ray image data comprises a PA (posterior-anterior view) chest X-ray image data or an AP (anterior-posterior view) chest X-ray image data;
performing a second image data classifying step, wherein the testing chest X-ray image data is classified by a second deep learning neural network classifier so as to obtain a target chest X-ray image data;
performing a feature extracting step, wherein a diameter of thoracic cavity and a diameter of cardiac silhouette of the target chest X-ray image data are captured automatically and then trained to achieve a convergence by a third deep learning neural network classifier so as to obtain a feature of CTR; and
performing an assessing step, wherein an assessing result of CTR is obtained according to the feature of CTR by the third deep learning neural network classifier.