• Pruthvika S
• Dr. T N Anitha
• Monika N
• Pruthvi R
• Shiva Sharanya S

Abstract—The term Pneumonia refers to a type of infection that increases the alveoli sacs in lungs. There are various types of bacteria can cause pneumonia. Streptococcus pneumoniae is one of the most common bacteria. Viruses that contaminate our lungs and airways can cause pneumonia. Influenza virus and rhinovirus are the most common viruses that causes viral pneumonia for people above age group of 20. Fungi such as Pneumocystis jirovecii is liable to cause pneumonia, particularly for people who have weak immune systems. When a person is suffering from bronchopneumonia, then air sacs are occupied with fluid and pus, which makes inhaling and exhaling painful also limits the oxygen intake. These kinds of infections usually spread when infected people come in direct contact with normal people. People with prior health issues and adult above age group of 65 are at higher risk of getting infected. There are several imaging modalities that can be applied for the detection of pneumonia in hospitals and clinics which includes computed tomography, chest radiography, magnetic resonance imagingetc. Chest radiography is one of the most used methods for detecting pneumonia worldwide due to its lower cost and they are easily accessible. Chest radiographs is challenging for detecting pneumonia even though it provides significant amount of information about a patient’s condition,because images have similar opaqueness when compared with images of other lung defects such as lung cancer, and excess fluid which leads to uncertainty.

CNN; Chest X-Ray; Feature Extraction; organizing map algorithm; Pneumonia Detection

"PNEUMONIA DETECTION USING VARIOUS NEURAL NETWORK ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l159-l162, April-2023, Available :http://www.jetir.org/papers/JETIR2304B27.pdf

"PNEUMONIA DETECTION USING VARIOUS NEURAL NETWORK ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl159-l162, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B27.pdf