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| Artificial Intelligence Analysis of Fundus Images—Opportunities and Challenges |
| Wenqiu Wang 1, 2, 3, Xiaodong Sun 1, 2, 3 |
| 1 Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China 2 Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China 3 Shanghai Key Laboratory of Fundus Diseases, Shanghai 200080, China |
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Abstract Medical imaging technology plays an important role in the screening, evaluation, diagnosis, and monitoring of fundus diseases. In recent years, the development of multi-modality imaging fusion technology, image databases, standardized protocols and image analysis have extracted large amounts of information from imagebased features. Artificial intelligence applications in fundus imaging will bring new opportunities for increasing the rate of disease diagnosis, accelerating the development of new drugs, promoting research and development, improving diagnosis and treatment, and judging the prognosis of patients. This review covers the research status, difficulties and trends of the combination of artificial intelligence and fundus imaging, as well as taking China's national status into consideration, with the goal of presenting an objective update on relevant topics and new prospects in this field.
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Received: 10 October 2018
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| Fund: Key Program of National Natural Science Foundation of China (81730026); Key Projects of Pharmacognosy of Shanghai Science and Technology Commission Foundation (17411953000); Shanghai Pujiang Program (18PJ1409500) |
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Corresponding Authors:
Xiaodong Sun, Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China; Shanghai Key Laboratory of Fundus Diseases, Shanghai 200080, China (Email: xdsun@sjtu.edu.cn)
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2019, Vol. 21 
