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Model training method, cup-to-disk ratio determination method and device, equipment and storage medium

A training method, cup-to-disk ratio technology, applied in the field of image processing, can solve problems such as large cup-to-disk ratio error, low accuracy, and missing screening

Pending Publication Date: 2020-12-25
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

However, the existing optic disc segmentation method is usually a pixel-level segmentation method, which judges each pixel separately, without considering the global expression of the optic disc, which will easily lead to large errors and low accuracy in the calculated cup-to-disk ratio. Multiple sieves or missed sieves

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  • Model training method, cup-to-disk ratio determination method and device, equipment and storage medium
  • Model training method, cup-to-disk ratio determination method and device, equipment and storage medium
  • Model training method, cup-to-disk ratio determination method and device, equipment and storage medium

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0027] It should be understood that the terminology used in the specification of this application is for the purpos...

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Abstract

The invention relates to the field of artificial intelligence, specifically uses a neural network, and discloses an optic cup and optic disc segmentation model training method, a cup-to-disc ratio determination method, device and equipment based on the neural network, and a storage medium, and the optic cup and optic disc segmentation model training method comprises the following steps: obtaininga sample image and an image label corresponding to the sample image; constructing sample data; inputting the sample data into a preset neural network to obtain a predicted optic cup and optic disc segmentation image; respectively projecting the image label and the predicted optic cup and optic disc segmentation image to obtain a label projection value corresponding to the image label and an imageprojection value of the predicted optic cup and optic disc segmentation image; respectively calculating the numerical value of the segmentation loss function and the numerical value of the projectionloss function to obtain the numerical value of the network loss function; and training the preset neural network according to the numerical value of the network loss function to obtain an optic cup and optic disc segmentation model. The invention is applicable to the field of smart medical treatment.

Description

technical field [0001] The present application relates to the field of image processing, and in particular to a method for training an optic cup and disc segmentation model, a neural network-based cup-to-disc ratio determination method, device, equipment and storage medium. Background technique [0002] Glaucoma is one of the three major eye diseases that cause blindness in the world. Its irreversibility makes its early diagnosis and treatment play a vital role in improving the quality of life of patients. In the automatic screening of glaucoma, the cup-to-disk ratio is usually used as an evaluation index, and the cup and disc in the fundus image are segmented by a segmentation method, and then the cup-to-disk ratio is calculated. However, the existing optic disc segmentation method is usually a pixel-level segmentation method, which judges each pixel separately, without considering the global expression of the optic disc, which will easily lead to large errors and low accur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06T11/00G06T7/11G06T7/00
CPCG06N3/08G06T11/003G06T7/11G06T7/0012G06T2207/30041G06N3/045
Inventor 李葛成冠举曾婵高鹏谢国彤
Owner PING AN TECH (SHENZHEN) CO LTD
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