Method, apparatus, and computer-readable storage medium for detecting specific facial syndromes

Abstract

The present invention provides a method, device and computer-readable storage medium for detecting a specific facial syndrome, the method comprising: acquiring a face image of an object to be detected; determining at least one key region image of the face image; Input the face image into the trained global detection model to obtain a global detection result; input at least one of the key region images into the trained local detection model to obtain at least one local detection result; according to the global detection result and at least One of the local detection results determines the target detection probability that the object to be detected suffers from a specific facial syndrome. Using the above method, the rapid detection of specific facial syndrome can be automatically completed without complex measuring equipment, which significantly reduces the difficulty of initial detection of patients with specific facial syndrome and improves the detection accuracy.

Description

technical field [0001] The invention belongs to the field of computer-aided diagnosis, and in particular relates to a method, a device and a computer-readable storage medium for detecting specific facial syndromes. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Computer-aided diagnosis technology refers to the use of imaging, medical image processing technology and other possible physiological and biochemical means, combined with computer analysis and calculation, to assist in the detection of lesions and improve the accuracy of diagnosis. The main advantage of computer-aided diagnosis of medical images lies in fast data processing and accurate quantitative calculation, which can provide clinical auxiliary diagnosis opinions with good consistency, high repeatability, ob...

AI Technical Summary

Problems solved by technology

Early detection of Down syndrome can be done before birth with biochemical screening and cytogenetic diagnostic tests, or it can be identified after birth by the presence of certain physical traits, including upward slanting eyes, small flat nose, Small ears and mouth, and a protruding tongue, but this may require careful diagnosis by a highly specialized medical professional

[0005] In conclusion, current diagnostic methods for facial syndromes associated with facial dysplasia are complex, time-consuming, and require a high degree of experience and expertise

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