Modeling method and apparatus for diagnosing ophthalmic disease based on artificial intelligence, and storage medium

US11636340B2 · kind B2 · utility

Assignees

• BGI SHENZHEN · CN
• EYE, EAR, NOSE, AND THROAT HOSPITAL OF FUDAN UNIVERSITY · CN

Inventors

• Xiaoqing Liu · 安丰镇, CN
• Jiaxu Hong · Shanghai, CN
• Yong Ni · Beijing, CN
• Shuangshuang Li · Lo Wu, CN
• Lili Wang · Beijing, CN
• Wei He · Tappan, US
• Youwen Guo · Lo Wu, CN
• Yuxuan Liu · Seattle, US
• Yong Liu · 安丰镇, CN
• Wei Wang · Hubei, CN
• Ruiqi Xu · Lo Wu, CN
• Jingyi Cheng · Shanghai, CN
• Lijia Tian · Shanghai, CN
• Wenbin Chen · Nanxiong, CN
• Xun Xu · Shanghai, CN

Key dates

• Filing date: Apr 17, 2018
• Grant date: Apr 25, 2023
• Expiry date: May 3, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.