Pneumonia detection through Image Classification Using CNN


Karan Badlani
Shreya Sawal
Mohit Nilkute
Shruti Belekar
Ajinkya Nilawar


Pneumonia is a dangerous and serious lung disease. Generally, Chest Radiographs are used to detect pneumonia. This article describes a new method based on Convolutional Neural Network (CNN) classifiers that can identify pneumonia from a patient’s X-ray. Hence, we are proposing pneumonia detection based on CNN using chest X-ray. In this paper, we analyze the existing methods of pneumonia detection and classification techniques. The performance of the proposed CNN model is compared with VGG19 and ResNet50-V2. Performance evaluation is done using Precision and Recall. The proposed CNN model provides higher accuracy compared to existing CNN models. 


How to Cite
Karan Badlani, Shreya Sawal, Mohit Nilkute, Shruti Belekar, & Ajinkya Nilawar. (2022). Pneumonia detection through Image Classification Using CNN. International Journal of Next-Generation Computing, 13(5).


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