Fudan University

Bgi Shenzhen

Lijia Tian

Qian Wang

Yong Liu

Wei He

Shuangshuang Li

Xun Xu

Lili Wang

Wenbin Chen

Xiaoqing Liu

Yuxuan Liu

Jiaxu Hong

Jingyi Cheng

Youwen Guo

Ruiqi Xu

Yong Ni

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.

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

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Shanghai, China

Lijia Tian