The present invention discloses a method,
system, device and readable storage medium for evaluating
digestive tract lesions. The
system includes: an acquisition module for acquiring
digestive tract images; a first
network module for extracting features from
digestive tract images to obtain multiple
trunk feature maps; a second
network module for performing background feature enhancement operations based on the
trunk feature map multiple times to generate background feature maps and calculate mucosal background classification results based on the
trunk feature map; a third
network module for fusing the trunk feature map and the background feature map, reinforcing multiple times to enhance the focal
lesion information, suppress the background features, and obtain the focal
lesion target detection results through regression prediction. The present invention accurately determines the mucosal background classification results through background enhancement, and then repeatedly enhances the target and suppresses the non-target so that local important lesions can be detected. The present invention can be applied to digestive tract mucosal images under endoscopic examination, and can further set the targets required for identification and classification to better guide doctors' work.