International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Pneumonia Detection Using X-Ray Images Based on Machine Learning and Deep Learning Techniques – A Survey

Yogesh Futane, Dr. C. N. Deshmukh

Abstract :

Artificial intelligence has proven to be an effective way in the detection of many diseases. This study presents a survey of artificial intelligence techniques used in the detection, classification, and visualization of pneumonia disease in lungs using radiographs of the chest. In this survey, different reliable databases were searched including research gate, Applied sciences, and IEEE. Pneumonia is a fatal sort of malady on the off chance that truly couldnt care less. If diagnose cannot be done in its early stages can be responsible for 50000 deaths every year. There are two kinds of pneumonia: viral and bacterial. Many researchers have done their research for the identification of pneumonia using machine learning and deep learning methods. This study gives you an overview of the machine learning methods proposed previously for pneumonia detection. The review is structured based on machine learning methods using chest x-ray images for the early identification of pneumonia.

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