RPN (Region Proposal Network)-based optic disk positioning method

A positioning method and optic disc technology, which are applied in image data processing, instruments, computing, etc., can solve the problem of inability to take into account accuracy and rapidity, and achieve the effect of robust positioning

Inactive Publication Date: 2018-10-30
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] In order to overcome the deficiency that the current optic disc positioning method cannot take into account the accuracy and rapidity, the present invention proposes a method based

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  • RPN (Region Proposal Network)-based optic disk positioning method
  • RPN (Region Proposal Network)-based optic disk positioning method
  • RPN (Region Proposal Network)-based optic disk positioning method

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[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] refer to Figure 1 ~ Figure 4 , an optic disc localization method based on RPN, including the overall feature extraction of the fundus image based on the deep convolutional neural network, the preliminary detection of the optic disc region based on the RPN network, and the position refinement of the candidate region of the optic disc based on the deep convolutional neural network;

[0046] The overall feature extraction of the fundus image based on the deep convolutional neural network, the deep convolutional neural network, as the basic network of the entire network model, is divided into five layers, consisting of convolutional layers, activation layers and pooling layers alternately The deep structure of , implicitly learns parameters from the given fundus image data;

[0047] In the preliminary detection of the disc region based on the RPN network, the RPN ...

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Abstract

An RPN (Region Proposal Network)-based optic disk positioning method comprises the steps of extracting overall characteristics of a fundus oculi image based on a deep convolutional neural network; preliminarily detecting an optic disk region based on an RPN network; and performing position finishing on an optic disk candidate region based on the deep convolutional neural network. According to theRPN-based optic disk positioning method, based on a deep learning method, the deep convolutional neural network is constructed to automatically position the optic disk, the accurate, rapid and robustpositioning of the optic disk can be implemented to assist in diagnosis treatment of a fundus oculi disease.

Description

technical field [0001] The invention relates to a positioning method, in particular to the application of technologies such as computer vision, digital image processing, pattern recognition, deep learning and deep convolutional neural network in the field of automatic positioning of optic discs in fundus images. Background technique [0002] Fundus retinal examination has been widely used in the prevention, diagnosis and treatment of diabetic retinopathy, glaucoma, age-related macular degeneration and other eye diseases. Among them, blood vessels, fovea, macula, and optic disc are the main observable objects of the retinal image except the background. In a normal retinal fundus image, the optic disc appears as a round bright yellow area with a diameter of about 1 / 7 of the ROI area of ​​the fundus image. The main blood vessels enter the eye from the optic disc and radiate to the periphery. As the intersection area of ​​blood vessels, it contains a large number of thicker blo...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/20016G06T2207/20081G06T2207/20084G06T2207/30041
Inventor 王丽冉汤一平何霞陈朋
Owner ZHEJIANG UNIV OF TECH
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