Method and apparatus for analyzing medical image

An apparatus for analyzing a medical image, the apparatus comprising:

• at least one processor;
• and
• a memory storing instructions, the instructions when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising:
• acquiring medical image data;
• generating multi-scale decision sample data based on the medical image data;
• and
• inputting the multi-scale decision sample data into a deep neural network model to obtain an auxiliary diagnosis data of the medical image, wherein the deep neural network model is trained according to a consistency principle between data and an output result using multi-scale training sample data.

A non-transitory computer readable storage medium, storing a computer program thereon, wherein the computer program, when executed by a processor, causes the processor to perform operations, the operations comprising:

• acquiring medical image data;
• generating multi-scale decision sample data based on the medical image data;
• and
• inputting the multi-scale decision sample data into a deep neural network model to obtain auxiliary diagnosis data of the medical image, wherein the deep neural network model is trained according to a consistency principle between data and an output result using multi-scale training sample data.