Detection of Chest X-ray Abnormalities Using CNN Based on Hyperparameter Optimization-Reference-Cited by-同舟云学术

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Detection of Chest X-ray Abnormalities Using CNN Based on Hyperparameter Optimization

Published:2023-11-15 Issue: Volume:8 Page:223
ISSN:
Container-title:The 4th International Electronic Conference on Applied Sciences
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Author:

Saifullah Shoffan¹²^ORCID,Yuwono Bambang²,Rustamaji Heru Cahya²³^ORCID,Saputra Bayu²,Dwiyanto Felix Andika¹^ORCID,Dreżewski Rafał¹^ORCID

Affiliation:

1. Faculty of Computer Science, AGH University of Krakow, 30-059 Krakow, Poland

2. Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta 55281, Indonesia

3. Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/56/1/223/pdf

Reference35 articles.

1. Marciniuk, D.D., and Schraufnagel, D.E. (2017). The Global Impact of Respiratory Disease, European Respiratory Society.

2. Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017;Soriano;Lancet Respir. Med.,2020

3. Deep architectures for high-resolution multi-organ chest X-ray image segmentation;Mesejo;Neural Comput. Appl.,2020

4. Rajasenbagam, T., Jeyanthi, S., and Pandian, J.A. (2021). Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques. J. Ambient. Intell. Humaniz. Comput., Online ahead of print.

5. Thorax disease classification with attention guided convolutional neural network;Guan;Pattern Recognit. Lett.,2020

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