Choroidal vessel lumen area recognition method, device and equipment and medium

Abstract

The invention relates to the field of artificial intelligence, and provides a choroidal vessel lumen area recognition method, device and equipment and a medium. The method comprises the steps of obtaining a fundus image to be recognized; inputting a fundus segmentation model based on U-Net, and performing choroidal feature extraction and edge segmentation on the fundus image to be recognized through the fundus segmentation model to obtain a fundus segmentation image; recognizing a foveal area in the fundus segmentation image through a fundus foveal recognition model, and intercepting a first fundus choroid image from the fundus segmentation image according to the foveal area; carrying out binarization processing on the first fundus choroidal image through a Niback local threshold algorithmto obtain a first choroidal binary image, and extracting a first lumen area from the first choroidal binary image; and identifying the first lumen region image. According to the invention, the funduschoroidal vessel lumen area in the fundus image can be automatically identified. The invention is suitable for the field of smart medical treatment, and can further promote the construction of smartcities.

Description

technical field [0001] The invention relates to the field of image processing of artificial intelligence, in particular to a method, device, equipment and medium for identifying a lumen region of a choroidal vessel. Background technique [0002] The fundus choroid is located between the retina and the sclera. It is a soft, smooth, elastic, and rich-vascular brown film. It starts from the serrated edge at the front and ends around the optic nerve at the back; The pigment epithelium is connected, and the outside is connected to the sclera through a potential gap. The fine fibrous platelets of the choroidal layer are stretched and mixed into the brown and black plate of the sclera, and blood vessels and nerves pass through it. The choroid is mainly composed of blood vessels that supply oxygen and blood to the retina. [0003] In the medical field, doctors often need to manually identify the luminal area of ​​the fundus choroid vessels in the collected fundus photos by experien...

AI Technical Summary

Problems solved by technology

[0003] In the medical field, doctors often need to manually identify the luminal area of ​​the fundus choroid vessels in the collected fundus photos by experience to determine the characteristics of the fundus choroid, and then perform other medical actions based on the identified features. There are objective factors such as high requirements for doctors' experience, low resolution of acquisition equipment, and ghosting of lights, which lead to deviations in the manual recognition of the characteristics of the choroidal vascular lumen area of ​​the fundus, and the recognition accuracy is low

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