Patent ID: 11961226
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 0:
1. A medical image recognition method, applied to a computer device, the method comprising:
obtaining a to-be-recognized original medical image set, the to-be-recognized original medical image set comprising at least one to-be-recognized original medical image;
for each to-be-recognized original medical image of the to-be-recognized original medical image set,
obtaining label information of the respective to-be-recognized original medical image in the to-be-recognized original medical image set, the label information comprising information associated with the respective to-be-recognized original medical image,
determining whether the label information of the respective to-be-recognized original medical image satisfies a sample extraction condition,
matching the respective to-be-recognized original medical image with a target medical image in a case that the label information of the respective to-be-recognized original medical image is determined to satisfy the sample extraction condition, the target medical image being a preset image template, and
determining, in a case that the respective to-be-recognized original medical image is successfully matched with the target medical image, that the to-be-recognized original medical image is one of a to-be-recognized medical image set, the to-be-recognized medical image set comprising at least one to-be-recognized medical image;

extracting, with circuitry of the computer device, a to-be-recognized area corresponding to each to-be-recognized medical image in the to-be-recognized medical image set, the to-be-recognized area being a part of the to-be-recognized medical image; and
determining, with the circuitry of the computer device, a recognition result of each to-be-recognized area through a medical image recognition model, the medical image recognition model being obtained through training according to a medical image sample set, the medical image sample set comprising at least one medical image sample, each medical image sample carrying corresponding annotation information, the annotation information being used for representing a type of the medical image sample, the recognition result being used for representing a type of the to-be-recognized medical image.