A deep learning-based early age-related macular lesion weakly supervised classification method

Abstract

The invention discloses a deep learning-based early age-related macular lesion weakly supervised classification method, which comprises the following steps of 1, positioning a central concave positionof an eye fundus image by adopting a convolutional neural network, and intercepting a square area as a candidate area by taking the central concave position as an original point and taking a double-optic disc diameter as a side length; 2, judging whether glass membrane warts appear in the macular area or not by adopting a convolutional neural network, detecting the glass membrane warts in a weaksupervision manner, and judging whether the glass membrane warts appear in the fundus image or not; 3, performing linear interpolation by using the intermediate result of the step 2 to obtain a finalpixel-level focus marking result. According to the algorithm, a weak supervision method is adopted for classifier training and detection, only whether the fundus image has vitreous condyloma information or not needs to be provided, the classifier can be trained without specific position information, correct classification of the early-stage age-related macular lesion fundus image is achieved, andthe algorithm can effectively save the cost of marking training data while the precision is guaranteed.

Description

technical field [0001] The present invention relates to a classification method for eye diseases, in particular to a weakly supervised classification method for early age-related macular degeneration based on deep learning. Background technique [0002] Age-related macular degeneration is the third leading cause of blindness after cataract and glaucoma, and it mainly occurs in the elderly population over the age of 55. Clinically, age-related macular degeneration can be divided into three stages: early stage, middle stage and late stage. Early age-related macular degeneration does not affect the patient's vision, so it is not easy to be discovered by the patient. However, if early age-related macular degeneration is not treated in a timely and effective manner, it will often deteriorate, and then develop into a middle or late stage, resulting in the loss of vision of the patient. Routine fundus screening is an effective means to detect early macular degeneration, but manua...

AI Technical Summary

Problems solved by technology

However, in the process of extracting features, this method involves iterative optimization and solution of the matrix, which has a huge amount of calculation, is very time-consuming in practical application, and relies on the label information of image pixels, which has many defects in practical application.

Images