Artificial intelligence-based medical image processing method and medical device, and storage medium

A computing device, comprising:

• an image acquisition apparatus, configured to obtain a medical image;
• a processor;
• and
• a memory, storing computer-readable instructions, the computer-readable instructions, when executed by the processor, performing a plurality of operations including:
• processing a medical image to generate an encoded intermediate image representing a structural feature of the medical image;
• segmenting the encoded intermediate image according to a first feature, to generate a segmented intermediate image including the first feature;
• processing the encoded intermediate image and the segmented intermediate image based on an attention mechanism, to generate an attention-enhanced detected intermediate input image;
• and
• performing second feature detection on the detected intermediate input image, to determine whether an image region of the detected intermediate input image in which the first feature is located comprises a second feature.

A non-transitory computer-readable storage medium, storing computer-readable instructions, the computer-readable instructions, when executed by a processor of a computing device, causing the computing device to perform a plurality of operations including:

• processing a medical image to generate an encoded intermediate image representing a structural feature of the medical image;
• segmenting the encoded intermediate image according to a first feature, to generate a segmented intermediate image including the first feature;
• processing the encoded intermediate image and the segmented intermediate image based on an attention mechanism, to generate an attention-enhanced detected intermediate input image;
• and
• performing second feature detection on the detected intermediate input image, to determine whether an image region of the detected intermediate input image in which the first feature is located comprises a second feature.