Optic cup and optic disk segmentation method based on rich context network

Abstract

The invention discloses an optic cup and optic disk segmentation method based on a rich context network. The method comprises the following steps: acquiring and processing existing color eye fundus image data to obtain a training data set; constructing an original optic cup and optic disc segmentation model, and training to obtain an optic cup and optic disc segmentation model; and segmenting the target color eye fundus image by using the optic cup and optic disc segmentation model to obtain a final optic cup and optic disc segmentation result. The invention further discloses an imaging method adopting the optic cup and optic disk segmentation method based on the rich context network. The invention provides a segmentation structure which is based on a convolutional neural network and can obtain sufficient context information to carry out optic disc and optic cup segmentation. Therefore, the method can improve the segmentation performance of the optic disc optic cup, solves the problem that the edge segmentation of the optic cup is not smooth enough, and is high in precision, good in reliability and good in segmentation effect.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an optic cup and disc segmentation method and an imaging method based on a rich context network. Background technique [0002] With the development of economy and technology and the improvement of people's living standards, people pay more and more attention to health. [0003] Fundus images are an important part of clinical medical images. In fundus images, commonly used indicators include cup-to-disk ratio (the ratio of the radius of the optic cup in the vertical direction to the optic disc), disc radius, and the area ratio of the disc along the optic disc. The prerequisite for obtaining the above indicators is to segment the optic cup and optic disc in the fundus image, so as to obtain a more referential image of the optic cup and optic disc. [0004] In color fundus images, the optic disc is a bright yellow oval structure consisting of the optic cup and retinal n...

AI Technical Summary

Problems solved by technology

However, the existing deep learning methods still do not have a high utilization rate of context information. Therefore, it is still difficult to obtain more accurate segmentation results for the visual cup with unclear boundaries.

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