中文版 | English
Title

一种眼前节生理年龄预测方法、装置、服务器及存储介质

Alternative Title
Anterior segment physiological age prediction method and device, server and storage medium
Author
First Inventor
刘江
Original applicant
南方科技大学
First applicant
南方科技大学
Address of First applicant
518055 广东省深圳市南山区西丽学苑大道1088号
Current applicant
南方科技大学
Address of Current applicant
518055 广东省深圳市南山区西丽学苑大道1088号 (广东,深圳,南山区)
First Current Applicant
南方科技大学
Address of First Current Applicant
518055 广东省深圳市南山区西丽学苑大道1088号 (广东,深圳,南山区)
Application Number
CN202010668609.1
Application Date
2020-07-13
Open (Notice) Number
CN111862020A
Date Available
2020-10-30
Status of Patent
实质审查
Legal Date
2020-11-17
Subtype
发明申请
SUSTech Authorship
First
Abstract
本发明实施例公开了一种眼前节生理年龄预测方法、装置、服务器及存储介质。该方法包括:获取待测用户的眼部的眼前节光学相干断层扫描图像;将所述待测用户的眼部的眼前节光学相干断层扫描图像输入预先训练好的神经网络模型,输出所述待测用户的眼前节生理年龄,其中,所述预先训练好的神经网络模型为利用眼前节光学相干断层扫描图像进行训练后获取的神经网络模型。本发明实施例的技术方案,通过神经网络模型预测眼前节生理年龄,利用标有年龄的眼前节光学相干断层扫描图像进行训练,提高眼前节生理年龄预测的准确率,有助于机体异常的监测和早期疾病的判断。
Other Abstract
The embodiment of the invention discloses an anterior segment physiological age prediction method and device, a server and a storage medium. The method comprises: acquiring an anterior segment opticalcoherence tomography image of an eye of a user to be measured; and inputting the anterior segment optical coherence tomography image of the eye of the user to be tested into a pre-trained neural network model, and outputting the anterior segment physiological age of the to-be-tested user, the pre-trained neural network model being a neural network model obtained after training by using an anterior segment optical coherence tomography image. According to the technical scheme of the embodiment of the invention, the anterior segment physiological age is predicted through the neural network model, and the anterior segment optical coherence tomography image marked with the age is used for training, so that the accuracy of anterior segment physiological age prediction is improved, and the monitoring of body abnormality and the judgment of early diseases are facilitated.
CPC Classification Number
G06N3/02 ; G06N3/08 ; G06T7/0012 ; G06T2207/10101 ; G06T2207/20081 ; G06T2207/20084 ; G06T2207/30041
IPC Classification Number
G06T7/00 ; G06N3/08 ; G06N3/02
INPADOC Legal Status
(ENTRY INTO FORCE OF REQUEST FOR SUBSTANTIVE EXAMINATION)[2020-11-17][CN]
INPADOC Patent Family Count
1
Extended Patent Family Count
1
Priority date
2020-07-13
Patent Agent
潘登
Agency
北京品源专利代理有限公司
URL[Source Record]
Data Source
PatSnap
Document TypePatent
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/532025
DepartmentDepartment of Computer Science and Engineering
理学院
Recommended Citation
GB/T 7714
刘江,郭梦洁,刘鹏,等. 一种眼前节生理年龄预测方法、装置、服务器及存储介质.
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