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

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

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 m...

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Bibliographic Details
Main Authors: Chi, L.-C (Author), Chou, F.-I (Author), Chou, J.-H (Author), Ho, W.-H (Author), Huang, H.-S (Author), Huang, T.-H (Author), Tsai, J.-T (Author), Yang, P.-Y (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
artificial intelligence
Artificial intelligence
Artificial Intelligence
Design
Diagnosis
diagnostic imaging
disease exacerbation
Disease Progression
False negative rate
human
Humans
Hyper-parameter
Hyperparameter optimization
Hyper-parameter optimizations
Image classification
Image enhancement
macular degeneration
Macular degeneration
Macular Degeneration
Macular degeneration classification
Medical imaging
Neural network model
Neural Networks, Computer
Neural-networks
Ophthalmology
Optimization
Residual neural network
Residual Neural Network
signal noise ratio
Signal to noise ratio
Signal-To-Noise Ratio
Statistics
Uniform design
Uniform experimental design
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