Method and apparatus for annotating medical image

An apparatus for annotating a medical image, 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 a to-be-annotated medical image;
• annotating classification information for the to-be-annotated medical image, wherein the classification information comprises a category of a diagnosis result and a grade of the diagnosis result corresponding to the medical image;
• processing the to-be-annotated medical image using a pre-trained lesion area detection model, framing a lesion area in the to-be-annotated medical image, and annotating a lesion type of the lesion area, to enable the to-be-annotated medical image to be annotated with the lesion area and the lesion type of the lesion area, wherein the lesion area detection model is used for framing the lesion area based on a position and size of the lesion area identified in the medical image, and annotating the lesion type of the lesion area;
• and
• splitting the framed lesion area from the to-be-annotated medical image with the framed lesion area to form a split image of the to-be-annotated medical image, to enable the to-be-annotated medical image to be annotated with the split image.

A non-transitory computer storage medium storing a computer program, the computer program when executed by one or more processors, causes the one or more processors to perform operations, the operations comprising:

• acquiring a to-be-annotated medical image;
• annotating classification information for the to-be-annotated medical image, wherein the classification information comprises a category of a diagnosis result and a grade of the diagnosis result corresponding to the medical image;
• processing the to-be-annotated medical image using a pre-trained lesion area detection model, framing a lesion area in the to-be-annotated medical image, and annotating a lesion type of the lesion area, to enable the to-be-annotated medical image to be annotated with the lesion area and the lesion type of the lesion area, wherein the lesion area detection model is used for framing the lesion area based on a position and size of the lesion area identified in the medical image, and annotating the lesion type of the lesion area;
• and
• splitting the framed lesion area from the to-be-annotated medical image with the framed lesion area to form a split image of the to-be-annotated medical image, to enable the to-be-annotated medical image to be annotated with the split image.