Enhancing Pneumonia Disease Classification using Genetic Algorithm-Tuned DCGANs and VGG-16 Integration

Enhancing Pneumonia Disease Classification using Genetic Algorithm-Tuned DCGANs and VGG-16 Integration

Diagnostic complications arise from pneumonia, characterized by lung inflammation caused by alveolar fluid accumulation, particularly in regions with limited radiologists. To tackle this issue, a new method utilizes the VGG16 methodology for categorization, bolstered by genetic algorithms. In additi...

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Bibliographic Details
Main Authors: Kania Ardhani Putri, Wikky Fawwaz Al Maki
Format: Article
Language:English
Published: Poltekkes Kemenkes Surabaya 2023-12-01
Series:Journal of Electronics, Electromedical Engineering, and Medical Informatics
Subjects:
pneumonia
deep learning
vgg16
genetic algorithm
deep convolutional generative adversarial network
Online Access:https://jeeemi.org/index.php/jeeemi/article/view/349

Internet

https://jeeemi.org/index.php/jeeemi/article/view/349

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