Choroid sublayer and choroid vessel segmentation network model and training method thereof

Abstract

The invention discloses a choroid sublayer and choroid vessel segmentation network model and a training method thereof, and the model comprises a sharing encoder module which is used for carrying out the down-sampling and feature extraction of a to-be-segmented image, and obtaining a first sharing feature; the shared decoder module is used for acquiring a first shared feature and performing up-sampling to obtain a second shared feature; the first decoder module is used for extracting choroid sublayer segmentation specific features in the second shared features; the second decoder module is used for extracting choroidal blood vessel segmentation specific features in the second shared features; and the classification module is used for calculating a segmentation result of the to-be-segmented image according to the second shared feature, the choroid sublayer segmentation specificity feature and the choroid blood vessel segmentation specificity feature. According to the invention, segmentation of choroid sublayers and choroid blood vessels is realized by arranging the five modules, namely, multi-task segmentation is realized through a multi-stream network structure.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to a choroidal sublayer and choroidal blood vessel segmentation network model and a training method thereof. Background technique [0002] Located between the retina and the sclera, the choroid is one of the most vascularized structures in the body, providing nutrients to the outer layers of the retina and playing a vital role in the human visual system. In clinical practice, optical coherence tomography (OCT) can separate the structures of the choroid from the retinal interior and is an effective method widely used in neurology, ophthalmology, gastroenterology and cardiology. To analyze ocular diseases based on OCT, researchers proposed quantitative choroidal biomarkers, such as choroidal thickness (CT), choroidal volume (CV), choroidal vascular density (CVD), choroidal Vascular index (choroidal vascularity index, CVI). Although these biomarkers can quantitatively refl...

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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a choroidal sublayer and choroidal vessel segmentation network model and its training method to solve the technical problem of poor accuracy in choroidal vessel segmentation in the prior art

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