The invention discloses a
bone age testing method based on a
machine learning model, a device,
computer equipment and a storage medium, wherein the method, the device, the
computer equipment and the storage medium belong to the field of
machine learning technology. The
bone age testing method based on the
machine learning model comprises the steps of receiving a to-be-tested X-
ray film which comprises a bone image; identifying the attributes of multiple predetermined parts of the bone from the bone image of the X-
ray film for forming a first attribute set; inputting the first attribute set into the first
machine learning model for outputting a first
bone age; matching the bone image in the X-
ray film with the standard image of the
human bone with each bone age, and finding out the bone ageof the
human bone which matches the bone image in the X-ray film as a second bone age; performing scoring on the attribute of each predetermined part in the first attribute set, obtaining a total
score according to the
score of the attribute of each predetermined part, and outputting a third bone age according to the total
score; and outputting the weighted summation of the first bone age, the second bone age and the third bone age as the tested bone age. The bone age testing method prevents a testing deviation caused by a single bone age
algorithm.