The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 08, 2023
Filed:
Aug. 05, 2021
Shanghai Mediworks Precision Instruments Co., Ltd., Shanghai, CN;
Eye and Ent Hospital of Fudan University, Shanghai, CN;
Yang Shen, Shanghai, CN;
Xingtao Zhou, Shanghai, CN;
Huijie Li, Shanghai, CN;
Chongyang Wang, Shanghai, CN;
Wenguang Chen, Shanghai, CN;
Jing Zhao, Shanghai, CN;
Meiyan Li, Shanghai, CN;
Yiyong Xian, Shanghai, CN;
Haipeng Xu, Shanghai, CN;
Lingling Niu, Shanghai, CN;
Wuxiao Zhao, Shanghai, CN;
Tian Han, Shanghai, CN;
SHANGHAI MEDIWORKS PRECISION INSTRUMENTS CO., LTD., Shanghai, CN;
EYE AND ENT HOSPITAL OF FUDAN UNIVERSITY, Shanghai, CN;
Abstract
A method for early diagnosis of keratoconus based on multi-modal data considers a mutual relationship between both eyes using four refractive maps for corneas of the both eyes and absolute corneal elevation data, and combines the deep convolutional network method, the traditional support vector machine (SVM) method in machine learning, and the elevation map enhancement method with adjustable best-fit-sphere (BFS) to identify sensitivity and specificity of a focus and balance the sensitivity and specificity. With multi-dimensional comprehensive judgment of a keratoconus morbidity with a patient as a unit, combined with binocular data including both manual selection features and deep network learning from big data, the diagnosis method has higher robustness and accuracy.