Comparative study of CNN techniques for tuberculosis detection using chest X-ray images from Indonesia

Comparative study of CNN techniques for tuberculosis detection using chest X-ray images from Indonesia

Convolutional neural networks (CNNs) represent a popular deep-learning approach for image classification tasks. They have been extensively employed in studies aimed at classifying tuberculosis (TB), coronavirus disease 2019 (COVID-19), and normal conditions on chest X-ray images. However, there is l...

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Bibliographic Details
Main Authors: Suci Dwijayanti, Regan Agam, Bhakti Yudho Suprapto
Format: Article
Language:English
Published: Universitas Mercu Buana 2025-05-01
Series:Jurnal Ilmiah SINERGI
Subjects:
alexnet
deployment
indonesian dataset
lenet
modified architecture
Online Access:https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/30533
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