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Deep Learning Model for Pneumonia Detection by saifiarshad456 is a document available to read on EtoBox.

What is Deep Learning Model for Pneumonia Detection about?

The document presents a project report on a deep learning model for pneumonia detection, submitted as part of a Bachelor of Technology degree in Computer Science and Engineering. The study utilizes the VGG16 model to classify chest X-ray images into normal and pneumonia categories, achieving an accuracy range of 85-90%. The findings suggest that deep learning can significantly assist radiologists in diagnosing pneumonia, thereby improving patient care, especially during respiratory outbreaks.

Author

saifiarshad456

Language

EN