Ai-based object classification method and apparatus, and medical imaging device and storage medium

An AI-based object classification apparatus, comprising:

• at least one memory configured to store program code;
• and
• at least one processor configured to read the program code and operate as instructed by the program code, the program code comprising:
• image obtaining code configured to cause the at least one processor to obtain a target image to be processed, the target image comprising a target detection object;
• image segmentation code configured to cause the at least one processor to separate a target detection object image of the target detection object from the target image;
• feature image obtaining code configured to cause the at least one processor to input the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image;
• feature information obtaining code configured to cause the at least one processor to obtain quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image;
• and
• object classification code configured to cause the at least one processor to classify the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image.

A non-volatile computer-readable storage medium, storing a computer program that when executed by at least one processor causes the at least one processor to:

• obtain a target image to be processed, the target image comprising a target detection object;
• separate a target detection object image of the target detection object from the target image;
• input the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image;
• obtain quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image;
• and
• classify the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image.