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Classification of retinopathy of prematurity plus lesions

A technology for premature infants and classification models, applied in the field of computers, can solve problems such as the aggravation of patients' conditions, and achieve the effect of improving the efficiency of lesion classification

Active Publication Date: 2021-08-24
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

Method used

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  • Classification of retinopathy of prematurity plus lesions
  • Classification of retinopathy of prematurity plus lesions
  • Classification of retinopathy of prematurity plus lesions

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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 present invention discloses a method for classifying plus lesions of retinopathy of prematurity, constructing a blood vessel segmentation model capable of segmenting blood vessel maps from fundus images, constructing a classification model capable of classifying plus lesions of blood vessel maps, and applying the blood vessel segmentation model from the target The blood vessel map in the target fundus image is segmented from the fundus image, the classification model is used to classify the blood vessel map in the target fundus image, and the plus lesion category to which the blood vessel map in the target fundus image belongs is obtained. Therefore, based on the vascular segmentation model and classification model, the vascular segmentation and vascular map classification of fundus images can be realized. Compared with the existing method of manually classifying plus lesions, it can improve the classification efficiency of retinopathy of prematurity plus lesions.

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...

Claims

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Application Information

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Patent Type & Authority Patents(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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