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
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Author | |
First Inventor | 刘江
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Original applicant | 南方科技大学
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First applicant | 南方科技大学
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Address of First applicant | 518055 广东省深圳市南山区西丽学苑大道1088号
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Current applicant | 南方科技大学
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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)
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First Current Applicant | 南方科技大学
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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)
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Application Number | CN202010668609.1
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Application Date | 2020-07-13
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Open (Notice) Number | CN111862020A
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Date Available | 2020-10-30
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Status of Patent | 实质审查
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Legal Date | 2020-11-17
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Subtype | 发明申请
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SUSTech Authorship | First
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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
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IPC Classification Number | G06T7/00
; G06N3/08
; G06N3/02
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INPADOC Legal Status | (ENTRY INTO FORCE OF REQUEST FOR SUBSTANTIVE EXAMINATION)[2020-11-17][CN]
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INPADOC Patent Family Count | 1
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Extended Patent Family Count | 1
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Priority date | 2020-07-13
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Patent Agent | 潘登
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Agency | 北京品源专利代理有限公司
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URL | [Source Record] |
Data Source | PatSnap
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Document Type | Patent |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/532025 |
Department | Department 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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