Eye fundus image optic disc and macular positioning detection algorithm based on YOLO-V3

Abstract

The invention discloses a n eye fundus image optic disc and macular positioning detection algorithm based on YOLO-V3 in the field of medical image recognition. The eye fundus image optic disc and macular positioning detection algorithm comprises the following steps: a, collecting and manufacturing a retina eye fundus image data set with an optic disc and a macular label; b, after the fundus imageoptic disk and macular data set is manufactured, modifying network parameters according to the target category needing to be recognized, and training a model; and c, after the model training is completed, testing multiple groups of independent data sets to realize rapid fundus image optic disc and macular positioning detection and evaluate a model detection effect. The positions of the optic discand the macula luteae in the fundus image can be simultaneously positioned in one set of system, the identification precision and speed are improved compared with those of a traditional positioning method, and the complexity of a corresponding positioning algorithm is reduced at the same time.

Description

technical field [0001] The invention relates to the technical field of medical image recognition, in particular to a YOLO-V3-based optic disc and macular location detection algorithm for fundus images. Background technique [0002] Fundus retinal examination has been widely used in the prevention, diagnosis and treatment of diabetic retinopathy, glaucoma, age-related macular degeneration and other eye diseases. Fundus images include the optic disc, macula, blood vessels and other major structures, and feature analysis of these structures is the basis for judging fundus diseases. As one of the important structures of the fundus image, the optic disc's size and shape are the main auxiliary parameters for judging various ophthalmic diseases, and are often used as indicators for judging retinopathy. The optic disc is also a key part of detecting other retinal structures. The distance between the optic disc and the macular area is generally fixed, so the center position informa...

AI Technical Summary

Problems solved by technology

In addition, both the optic disc and the macula are necessary information links when observing the fundus image, while the traditional fundus image positioning method can only detect a single target, and cannot simultaneously locate and detect the two targets of the optic disc and the macula

This undoubtedly increases the complexity of the entire fundus image recognition process and increases the difficulty of the fundus image analysis process.

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