Age-related Macular Degeneration detection using deep convolutional neural network

作者：Tan Jen Hong; Bhandary Sulatha V; Sivaprasad Sobha; Hagiwara Yuki; Bagchi Akanksha; Raghavendra U; Rao A Krishna; Raju Biju; Shetty Nitin Shridhara; Gertych Arkadiusz; Chua Kuang Chua; Acharya U Rajendra

来源：Future Generation Computer Systems-The International Journal of eScience, 2018, 87: 127-135.

DOI：10.1016/j.future.2018.05.001

• Age-related Macular Degeneration
• Aging
• Computer-aided diagnosis system
• Convolutional neural network
• Deep learning
• Fundus images

Age-related Macular Degeneration (AMD) is an eye condition that affects the elderly. Further, the prevalence of AMD is rising because of the aging population in the society. Therefore, early detection is necessary to prevent vision impairment in the elderly. However, organizing a comprehensive eye screening to detect AMD in the elderly is laborious and challenging. To address this need, we have developed a fourteen-layer deep Convolutional Neural Network (CNN) model to automatically and accurately diagnose AMD at an early stage. The performance of the model was evaluated using the blindfold and ten-fold cross-validation strategies, for which the accuracy of 91.17% and 95.45% were respectively achieved. This new model can be utilized in a rapid eye screening for early detection of AMD in the elderly. It is cost-effective and highly portable, hence, it can be utilized anywhere.

• 出版日期2018-10