A Study on Lung Disease Detection System

Authors

  • G. Arunalatha

Keywords:

Lung disease, Deep learning, CNN

Abstract

In order to avoid complications, including death, early diagnosis and treatment of lung diseases are essential. The best diagnostic technique currently available is a chest X-ray, which is essential to clinical care. For a person with a lung disease, using deep learning to predict the disease from chest x-rays and chest CT scan may save their life. This is made possible by the instantaneous, high-predictability of the results. In this paper, the various methods for expert lung disease diagnosis is presented. Its main goal is to develop a system that will help radiologists to identify the  lung conditions.

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References

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Kabiraj, Anwesh, et al. "Detection and classification of lung disease using deep learning architecture from x-ray images." International Symposium on visual computing. Cham: Springer International Publishing, 2022.

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Published

06.08.2024

How to Cite

G. Arunalatha. (2024). A Study on Lung Disease Detection System. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 1045 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7112

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

License

Creative Commons License

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