Method for early diagnosis of keratoconus based on multi-modal data

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United States of America Patent

PATENT NO 11717151
APP PUB NO 20230190089A1
SERIAL NO

17797114

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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.

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Patent Owner(s)

  • SHANGHAI MEDIWORKS PRECISION INSTRUMENTS CO., LTD.; EYE AND ENT HOSPITAL OF FUDAN UNIVERSITY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Wenguang Shanghai, CN 21 124
Han, Tian Shanghai, CN 1 0
Li, Huijie Shanghai, CN 10 17
Li, Meiyan Shanghai, CN 8 25
Niu, Lingling Shanghai, CN 2 1
Shen, Yang Shanghai, CN 80 351
Wang, Chongyang Shanghai, CN 39 914
Xian, Yiyong Shanghai, CN 1 0
Xu, Haipeng Shanghai, CN 7 1
Zhao, Jing Shanghai, CN 279 1622
Zhao, Wuxiao Shanghai, CN 1 0
Zhou, Xingtao Shanghai, CN 3 1

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