Detection of Pneumonia Using Deep Learning

Detection of Pneumonia Using Deep Learning

Mohammed Tajuddin ,Venkata Nikhil Amirisetty, Sourav Dutta, Dandu Shashank Arjun, Denepalli Sai Samhitha, V V Sai Aiswarya Gouri, Aditya Shah

ABSTRACT

Pneumonia stands out as one of the prevailing infections worldwide, typically stemming from bacterial, fungal, or viral sources. This inflammatory condition targets the lung tissue, causing swelling in either one or both lungs, with bacterial infection being a frequent culprit. Recognizable symptoms of pneumonia encompass a persistent cough, labored breathing, elevated heart rate, fever, profuse sweating, shivering, loss of appetite, and chest pain.

In the United States alone, pneumonia contributes to over one million hospitalizations and approximately fifty thousand deaths annually. The primary diagnostic method involves the use of chest X-rays, a widely adopted practice to identify and assess pneumonia symptoms. Within the human respiratory system, viral and bacterial pneumonia emerge as the most prevalent types. Medical professionals rely on chest X-ray examinations to differentiate between these two forms, aiding in accurate diagnosis and subsequent treatment.