The application discloses an
image processing system, method and storage medium, and the method comprises the following steps: acquiring an
MRI image of a historical patient's ear and a corresponding
medical report; generating left ear and right ear image features according to the
MRI image coding; constructing an image reconstruction loss according to the left ear and right ear image features; constructing an
image contrast learning loss according to
anchor point features extracted from the
MRI image; determining a specific severity
score according to the
medical report, performing cross-
modal fusion and alignment between the image and text features extracted from the
medical report according to the specific severity
score, wherein a cross-
modal contrast loss is constructed when the cross-
modal alignment is performed; constructing an objective function according to each loss, so as to pre-
train a diagnosis model through the objective function; and inputting an MRI image of a current patient's ear and a corresponding medical report into the pre-trained diagnosis model to output a Meniere's
disease diagnosis result. The application can realize accurate and efficient diagnosis of Meniere's
disease through
image processing.