Abstract
Computer-aided diagnosis of retinopathy is a research hotspot in the field of medical image classification. Diabetic macular edema (DME) and age-related macular degeneration (AMD) are two common ocular diseases that can result in partial or complete loss of vision. Optical coherence tomography imaging (OCT) is widely applied to the diagnosis of ocular diseases including DME and AMD. In this paper, an automatic method based on deep learning is proposed to detect AME and AMD lesions, in which two publicly available OCT datasets of retina were adopted and a network model with effective feature of reuse feature was applied to solve the problem of small datasets and enhance the adaptation to the difference of different datasets of the approach. Several network models with effective feature of reusable feature were compared and the transfer learning on networks with pre-trained models was realized. CliqueNet achieves better, classification results compared with other network models with a more than 0.98 accuracy and 0.99 of area under the curve (AUC) value finally.
Highlights
The macular area is an important area of the retina, which is related to fine vision, color vision, and other visual functions
An automatic method based on deep learning is proposed to detect AME and age-related macular degeneration (AMD) lesions, in which two publicly available Optical coherence tomography imaging (OCT) datasets of retina were adopted and a network model with effective feature of reuse feature was applied to solve the problem of small datasets and enhance the adaptation to the difference of different datasets of the approach
CliqueNet and DPN92 achieved significantly higher accuracy results than the method previously used, which indicates that these neural network models with effective feature of reusability are more adaptable to the difference among different datasets, and the effective feature of reusable characteristics can help the neural network to achieve higher accuracy
Summary
The macular area is an important area of the retina, which is related to fine vision, color vision, and other visual functions. The vision will be negatively affected once lesions occur in the macular area. Known as age-related macular degeneration (AMD), is the aging change in the macular area, which occurs mainly in people over 45 years old and the prevalence rate of AMD increases with age, making it one of the primary causes of blindness in the elderly [2]. Diabetic macular edema (DME) is a major complication of diabetes in the eyes, which is the leading cause of blindness in young adults in developed countries [3]. Early detection is important for the treatment of AMD and DME [4], [5]. OCT is widely used in the diagnosis of AMD and DME
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