UGC Approved Journal no 63975(19)

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Published in:

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFQ06016


Registration ID:
500782

Page Number

75-78

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Title

PNEUMONIA DETECTION FROM CHEST X- RAY USING CNN AND DEEP LEARNING ALGORITHM

Abstract

Pneumonia is a bacterial infection that causes inflammation in the lungs. Early diagnosis is a key aspect in ensuring a successful treatment process. A skilled radiologist will usually diagnose the condition using chest X-ray images. Pneumonia affects a large number of people, particularly in developing and impoverished countries, where pollution, unsanitary living conditions, and overcrowding are all too widespread, along with a lack of medical infrastructure. Pneumonia is a bacterial infection that causes inflammation in the lungs. Early diagnosis is a key aspect in ensuring a successful treatment process. A skilled radiologist will usually diagnose the condition using chest X-ray images. Pneumonia affects a large number of people, particularly in poor and impoverished countries where pollution levels are high and living conditions are unsanitary. For some reasons, such as the presence of diseases that are obscure in chest X-ray pictures or can be confused with other conditions, diagnosis can be subjective. As a result, computer-assisted diagnostic systems are required to guide physicians. In this study about automated computer aided detection of pneumonia using deep learning were discussed and tabulated results for detection of pneumonia, as well as conclusions and future work. Pneumonia produces pericardial effusion, which is a condition in which fluids fill the lung and create breathing problems. It is critical to diagnose pneumonia early in order to receive curative treatment and boost survival chances. The most common method for detecting pneumonia is chest X-ray imaging. However, examining chest X-rays is a difficult task that is vulnerable to subjective variability. We intend to develop a technique for detecting pneumonia using chest X-ray pictures in this project. When a data set of x-ray pictures was applied to the input, we used deep learning and a CNN-based algorithm to discriminate the forms of pneumonia with accurate locations.

Key Words

Convolutional Neural Network, Deep learning algorithm , Chest X-ray dataset.

Cite This Article

"PNEUMONIA DETECTION FROM CHEST X- RAY USING CNN AND DEEP LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.75-78, August-2022, Available :http://www.jetir.org/papers/JETIRFQ06016.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PNEUMONIA DETECTION FROM CHEST X- RAY USING CNN AND DEEP LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp75-78, August-2022, Available at : http://www.jetir.org/papers/JETIRFQ06016.pdf

Publication Details

Published Paper ID: JETIRFQ06016
Registration ID: 500782
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: 75-78
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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