Optimization of convolutional neural network and visual geometry group-16 using genetic algorithms for pneumonia detection

Optimization of convolutional neural network and visual geometry group-16 using genetic algorithms for pneumonia detection

Pneumonia is still a major global health issue, so effective diagnostic methods are needed. This research proposes a new methodology for improving convolutional neural networks (CNNs) and the Visual Geometry Group-16 (VGG16) model by incorporating genetic algorithms (GAs) to detect pneumonia. The wo...

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Bibliographic Details
Main Authors: Mejda Chihaoui, Naziha Dhibi, Ahlem Ferchichi
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Medicine
Subjects:
pneumonia
deep learning
convolutional neural network
genetic algorithm
visual geometry group-16
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1498403/full
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