Premature infant retinopathy plus lesion classification method

A technology of retina of prematurity and classification method is applied in the field of retinopathy of prematurity plus lesion classification, which can solve problems such as the aggravation of the patient's condition, and achieve the effect of improving the efficiency of lesion classification.

Active Publication Date: 2019-04-16
合肥奥比斯科技有限公司
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Problems solved by technology

Due to the continuous increase in the prevalence of ROP worldwide, most of the patients do not even receive any form of examination in time, which leads to the exacerbation of the patient's condition

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  • Premature infant retinopathy plus lesion classification method
  • Premature infant retinopathy plus lesion classification method
  • Premature infant retinopathy plus lesion classification method

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Embodiment Construction

[0022] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0023] The embodiment of the present invention provides a fast, accurate, high reliability, easy to popularize, and can effectively assist doctors in the diagnosis of retinopathy of prematurity plus lesion classification and grading method based on deep learning. First, the deep learning technology is used to automatically segment the retinal blood vessels, and the deep learning technology is us...

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Abstract

The embodiment of the invention discloses a premature infant retinopathy plus lesion classification method. The method comprises: constructing a blood vessel segmentation model capable of segmenting ablood vessel image from the fundus image; and constructing a classification model capable of carrying out plus lesion classification on the vascular image, segmenting the vascular image in the targetfundus image from the target fundus image by applying the vascular segmentation model, and classifying the vascular image in the target fundus image by applying the classification model to obtain a plus lesion category to which the vascular image in the target fundus image belongs. Therefore, blood vessel segmentation and blood vessel image classification are carried out on the fundus image basedon the blood vessel segmentation model and the classification model, and compared with an existing mode of manually classifying the plus lesions, the classification efficiency of the premature infantretinopathy plus lesions can be improved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a classification method for retinopathy of prematurity plus lesions. Background technique [0002] Retinopathy of prematurity (ROP) is an important blinding eye disease worldwide, accounting for 6% to 8% of the causes of blindness in children. The plus lesion in ROP has important clinical significance for ROP. Plus lesions manifested as a series of clinical manifestations such as vasodilation, tortuosity, vitreous opacity, iris vasodilation, and pupil rigidity in the posterior pole of the retina in ROP. [0003] At present, the identification method of plus lesions in retinopathy of prematurity is to obtain fundus images through a fundus camera, and then ophthalmologists rely on the naked eye to observe the plus lesions and classify the plus lesions. Due to the continuous increase in the prevalence of ROP worldwide, most of the patients do not even receive any form of examination in tim...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/34
CPCG06V10/26G06F18/241G06F18/214
Inventor 刘磊
Owner 合肥奥比斯科技有限公司
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