![](/images/graphics-bg.png)
Study on the Method of Fundus Image Generation Based on Improved GAN
Joint Authors
Zhang, Jian
Guo, Jifeng
Pang, Zhiqi
Yang, Fan
Shen, Jiayou
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the continuous development of deep learning, the performance of the intelligent diagnosis system for ocular fundus diseases has been significantly improved, but during the system training process, problems like lack of fundus samples and uneven sample distribution (the number of disease samples is much smaller than the number of normal samples) have become increasingly prominent.
In view of the previous issues, this paper proposes a method for generating fundus images based on “Combined GAN” (Com-GAN), which can generate both normal fundus images and fundus images with hard exudates, so that the sample distribution can be more even, while the fundus data are expanded.
First, this paper uses existing images to train a Com-GAN, which consists of two subnetworks: im-WGAN and im-CGAN; then, it uses the trained model to generate fundus images, then performs qualitative and quantitative evaluation on the generated images, and adds the images to the original image set to expand the datasets; finally, based on this expanded training set, it trains the hard exudate detection system.
The expanded datasets effectively improve the generalization ability of the system on the public datasets DIARETDB1 and e-ophtha EX, thereby verifying the effectiveness of the proposed method.
American Psychological Association (APA)
Guo, Jifeng& Pang, Zhiqi& Yang, Fan& Shen, Jiayou& Zhang, Jian. 2020. Study on the Method of Fundus Image Generation Based on Improved GAN. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1196690
Modern Language Association (MLA)
Guo, Jifeng…[et al.]. Study on the Method of Fundus Image Generation Based on Improved GAN. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1196690
American Medical Association (AMA)
Guo, Jifeng& Pang, Zhiqi& Yang, Fan& Shen, Jiayou& Zhang, Jian. Study on the Method of Fundus Image Generation Based on Improved GAN. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1196690
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196690