Patent ID: 11967071
Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 14:
15. A non-volatile computer-readable storage medium with computer instructions stored thereon, wherein, when being executed by a processor, the computer instructions implement a method for training recognition model comprising:
obtaining a color fundus image sample associated with a label value, inputting the color fundus image sample into a preset recognition model containing initial parameters, wherein the preset recognition model comprises an input unit, a first convolutional neural network, and a second convolutional neural network sequentially connected together;
extracting a red channel image in a red channel from the color fundus image sample in the input unit;
inputting the red channel image into the first convolutional neural network to obtain a first recognition result and a feature image of the red channel image;
combining the color fundus image sample with the feature image to generate a combined image, and inputting the combined image into the second convolutional neural network to obtain a second recognition result;
inputting the label value, the first recognition result, and the second recognition result into a preset loss function to obtain a total loss value; wherein the loss function comprises a first loss weight of the convolutional neural network and a second loss weight of the second convolutional neural network;
when the total loss value is less than or equal to a preset loss threshold, ending the training of the preset recognition model.