Ocular Disease Recognition and Classification using TripleGAN

doi:10.1145/3613307.3613309

科研成果详情

题名	Ocular Disease Recognition and Classification using TripleGAN
作者	Fan，Mingxuan; Peng，Xiaoling; Gong，Xi
发表日期	2023-07-21
会议录名称	ACM International Conference Proceeding Series
页码	7-11
摘要	Ocular diseases pose significant challenges in the field of ophthalmology. The accurate classification of fundus images depicting various ocular diseases plays a vital role in early diagnosis and effective treatment planning. However, medical datasets for such conditions often suffer from limited samples and imbalanced class distributions, making classification tasks more challenging. In this study, we address the multi-classification of fundus images of ocular diseases, considering the aforementioned dataset limitations. We specifically focus on three distinct ocular diseases, along with normal fundus images. In medical data analysis, the availability of labeled data is often limited, and the distribution of classes is frequently imbalanced. To address these challenges, we propose the utilization of triple generative adversarial nets (TripleGAN), a semi-supervised generative network, for medical data classification tasks. Through rigorous experimentation and training, we demonstrate the effectiveness and robustness triple generative adversarial nets. After 500 iterations, our model achieves a stable test accuracy of approximately 70%. Furthermore, our approach exhibits resilience to loss variation, ensuring consistent performance across different stages of training. The results of our study indicate promising potential in the accurate classification of fundus images of ocular diseases, even in the presence of under-sampled and unbalanced datasets. Our findings contribute to the research in the field of ophthalmic image analysis and may aid in the development of advanced diagnostic tools for ocular diseases.
关键词	Convolutional Neural Networks Image Recognition Ocular Disease Diagnosis Triple Generative Adversarial Nets
DOI	10.1145/3613307.3613309
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85175971826
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/11549
专题	北师香港浸会大学
通讯作者	Gong，Xi
作者单位	Department of Statistics and Data Science,BNU-HKBU United International College,Zhuhai,519087,China
第一作者单位	北师香港浸会大学
通讯作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Fan，Mingxuan,Peng，Xiaoling,Gong，Xi. Ocular Disease Recognition and Classification using TripleGAN[C], 2023: 7-11.