Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning

Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning

Background: To diagnose key pathologies of age-related macular degeneration (AMD) and diabetic macular edema (DME) quickly and accurately, researchers attempted to develop effective artificial intelligence methods by using medical images. Results: A convolutional neural network (CNN) with transfer l...

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Bibliographic Details
Main Authors: Chen, Y.-M (Author), Ho, W.-H (Author), Huang, W.-T (Author), Tsai, J.-T (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Age-related macular degeneration
artificial intelligence
Artificial Intelligence
Artificial intelligence methods
Convolution
Convolutional neural network
Convolutional neural networks
diabetic retinopathy
Diabetic Retinopathy
diagnostic imaging
human
Humans
Hyperparameter
Hyper-parameter
Image classification
Learning algorithms
Learning capabilities
Learning systems
machine learning
Machine Learning
macular degeneration
Macular Degeneration
macular edema
Macular edema
Macular Edema
Medical imaging
Network-based
Neural network model
Neural Networks, Computer
optical coherence tomography
Optical coherence tomography image
Optical tomography
Tomography, Optical Coherence
Transfer learning
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