Computer device and deep learning method of artificial intelligence model for medical image recognition

A computer device, comprising:

• a storage device, configured to store an image pre-processing application and an artificial intelligence model;
• and
• a processor, configured to execute the image pre-processing application and the artificial intelligence model to perform the following operations:
• obtaining a first image set, wherein the first image set comprises at least two images captured with different parameters;
• performing image pre-processing on each image of the first image set to obtain a second image set;
• performing image augmentation on the second image set to obtain a third image set;
• adding the third image set to a training image data set;
• training the artificial intelligence model using the training image data set;
• receiving an input image;
• performing image pre-processing on the input image to obtain a first image;
• utilizing the artificial intelligence model to recognize the first image to obtain a second image;
• searching the input image for a plurality of first pixels corresponding to a position of a predicted mask in the second image, and calculating a first feature value of the first pixels;
• searching the input image for a plurality of second pixels satisfying a first condition to obtain a third image;
• searching the input image for a plurality of third pixels satisfying a second condition to obtain a fourth image;
• subtracting the third image and the fourth image from the input image to obtain a fifth image;
• performing watershed image processing on the fifth image to obtain a sixth image;
• selecting a region overlapping with the predicted mask from the sixth image to obtain a target region image;
• and
• superimposing the target region image onto the input image to obtain the output image.