This invention discloses a method and
system for grading myopic
macular degeneration (ATN) based on multimodal
medical imaging. The
system includes an
image acquisition module for acquiring multimodal
retinal images to be graded; a preprocessing module for preprocessing the multimodal images to obtain image sequences that meet preset grading requirements; and a grading module for inputting the image sequences into a pre-stored multimodal multi-task grading model. The model performs
feature extraction, multimodal fusion, and multi-task classification on the image sequences, outputting a
lesion grade prediction result for each grading task. This invention significantly improves the model's sensitivity to
pathological regions by performing pixel-level segmentation of the input images and locating key
anatomical structures. In subsequent steps, spatial weighting is applied to CFP image modalities, and specific regions of OCT and OCTA are enhanced, effectively improving the accuracy and robustness of
lesion diagnosis and localization.