Optimizing Fully Convolutional Encoder-Decoder Network for Segmentation of Diabetic Eye Disease

In the emerging field of image segmentation, Fully Convolutional Networks (FCNs) have recently become prominent. However, their effectiveness is intimately linked with the correct selection and fine-tuning of hyperparameters, which can often be a cumbersome manual task. The main aim of this study is...

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Veröffentlicht in:	Computers, materials & continua Jg. 77; H. 2; S. 2481 - 2504
Hauptverfasser:	Khan, Abdul Qadir, Sun, Guangmin, Li, Yu, Bilal, Anas, Manan, Malik Abdul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2023
Schlagworte:	Accuracy Age related diseases Algorithms Datasets Diabetes Diabetic retinopathy Encoders-Decoders Eye diseases Genetic algorithms Hypertension Image segmentation Machine learning Optimization Optimization techniques
ISSN:	1546-2226, 1546-2218, 1546-2226
Online-Zugang:	Volltext
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