Fundus image optic disc and optic cup segmentation method based on a semi-supervised conditional generative adversarial network

Abstract

The invention discloses a fundus image optic disc and optic cup segmentation method based on a semi-supervised conditional generative adversarial network, and the method comprises the following steps:building a network framework which comprises two stages: optic disc semantic segmentation and optic cup semantic segmentation; wherein each of the two stages comprises a semantic segmentation network, a generator and a discriminator; the semantic segmentation network generates a (optic disc or optic cup) segmentation image by utilizing the labeled and unlabeled fundus images; the generator generates an eye fundus image with a real (optic disc or optic cup) segmentation image as an input; and the discriminator identifies whether the data pairing of the fundus image and the (optic disc or opticcup) segmented image thereof is real or forged, the guide generator and the semantic segmentation network learn the joint distribution of the fundus image and the segmented image thereof, and finally, the results of the two semantic segmentation stages are combined to obtain the optic disc and optic cup segmented image of the fundus image.

Description

technical field [0001] The invention relates to the field of glaucoma medical image analysis, more specifically, a method for segmenting the optic disc and cup of the fundus image based on a semi-supervised conditional generative adversarial network is designed. Background technique [0002] Glaucoma is an ophthalmic disease that causes optic nerve damage, visual field defect and vision loss due to intermittent or continuous increase in intraocular pressure. Glaucoma is the second leading blinding eye disease in the world, with an incidence rate of 1% in the general population and 2% after the age of 45. According to the forecast of the World Health Organization, by 2020, the number of glaucoma patients worldwide will reach 79.6 million. Because optic nerve damage and vision loss from glaucoma are irreversible, early screening and diagnosis of glaucoma are critical to maintaining vision. [0003] Cup to Disc Ratio (CDR), as an important index for early glaucoma screening, ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the defect of poor optimization of optic disc and optic cup segmentation results under the current existing technical conditions, and propose a method for semantic segmentation of optic disc and optic cup for fundus images

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