Utilizing Generative Adversarial Network for Synthetic Image Generation to Address Imbalance Challenges in Chest X-Ray Image Classification

Utilizing Generative Adversarial Network for Synthetic Image Generation to Address Imbalance Challenges in Chest X-Ray Image Classification

Deep learning-based classifiers need lots of image data to train. Unfortunately, not all real-world cases are supported by a huge amount of image data. One of the cases are images for classification of pneumonia infections with chest X-rays images. This study proposes a way of synthesizing chest X-...

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Bibliographic Details
Main Authors: Nugraha Priya Utama, Muhammad Faris Muzakki
Format: Article
Language:English
Published: ITB Journal Publisher 2023-12-01
Series:Journal of ICT Research and Applications
Subjects:
chest X-ray datasets
Covid-19
generative adversarial networks (GANs)
data augmentation
imbalanced data
medical imaging
Online Access:https://journals.itb.ac.id/index.php/jictra/article/view/22200

Internet

https://journals.itb.ac.id/index.php/jictra/article/view/22200

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