DIAGNOSIS OF PNEUMONIA USING DEEP LEARNING









Abstract

Pneumonia is a high-mortality disease that claims the lives of 50,000 Americans each year. Pneumonia is a dangerous illness that affects children under the age of five and elderly people over the age of 65. Every year, the United States spends billions of dollars to combat pneumonia-related diseases. In the treatment of pneumonia-related illnesses, early detection and intervention are critical. We propose a deep learning approach based on convolutional neural networks to identify and classify pneumonia cases from chest x-ray pictures because it is one of the simplest and cheapest ways to diagnose pneumonia.


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Software And Hardware