Artificial intelligence classification model for macular degeneration images: a robust optimization framework for residual neural networks.

ABSTRACT:

Background

The prevalence of chronic disease is growing in aging societies, and artificial-intelligence-assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (ResNet) model constructed using uniform design. The ResNet model is an artificial intelligence model that classifies macular degeneration images and can assist medical professionals in related tests and classification tasks, enhance confidence in making diagnoses, and reassure patients. However, the various hyperparameters in a ResNet lead to the problem of hyperparameter optimization in the model. This study employed uniform design-a systematic, scientific experimental design-to optimize the hyperparameters of the ResNet and establish a ResNet wi

SUBMITTER: Ho WH 

PROVIDER: S-EPMC8576905 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature