Method and computer system for analyzing gastric endoscopic image utilizing image segmentation technology

A computer system, comprising:

• a memory configured to store a plurality of instructions;
• and
• a processor coupled to the memory and configured to execute the instructions to perform the following steps:
• obtaining a gastric endoscopic image and cutting the gastric endoscopic image into a plurality of patches;
• inputting one of the patches into an encoder to obtain an encoded feature map;
• inputting the encoded feature map into a decoder to obtain a decoded feature map;
• inputting the decoded feature map into a mask focal modulation decoder, wherein the mask focal modulation decoder comprising a plurality of mask focal modulation stages, and wherein one of the mask focal modulation stages is utilized to receive the decoded feature map and a first prototype feature, inputting the first prototype feature into a focal modulation function to obtain a focal modulation feature, inputting the decoded feature map into a scaling function then into a projection function to obtain a scaled feature and generating a second prototype feature based on a mask, the scaled feature, and the focal modulation feature;
• and
• generating a prediction mask based on the second prototype feature, wherein the prediction mask comprises a plurality of pixels for segmenting a gastric intestinal metaplasia area.