UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 4
April-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2004207


Registration ID:
230500

Page Number

50-57

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Title

Diagnosis of Pneumonia using Transfer Learning Approach

Abstract

In the health care industries, lung infection is caused by bacteria, viruses or germs where pneumonia is one of the dangerous diseases which may infect one or both lungs. Pneumonia is caused when inflammation is caused the infection in the air sacs and the lungs which are called alveoli. Fluid, cough or pus are filled up in the lungs by which the air sacs become inflamed due to pneumonia. Pneumonia creates difficulties in exhalation and inhalation. If not controlled by pills or drugs at the correct time initially, pneumonia may result in the death of individuals. Therefore, the infection should be determined at the initial stage by using a chest x-ray diagnosis technique. This paper discusses the pneumonia detection technique which uses different and challenging medical-imaging techniques (chest x-ray image). To get the efficient, quick and accurate result in the detection of pneumonia infection, the transfer learning technique is used which is helpful to improve the performance of learning of pneumonia detection model where already learned prediction task learns new prediction task through the transfer knowledge. This model can detect pneumonia automatically by providing the training with the proper data set. Through the preprocessing multistep, deep learning architecture is used in task classification with the training of modify images. Using some different neural network model images are selected and pre-trained on imageNet which are delivered in prediction classifier for pneumonia prediction. This model solves the accuracy problem in pneumonia detection at the initial stage.

Key Words

Pneumonia, medical chest x-ray, image processing transfer learning, deep learning, radiology, diagnosis

Cite This Article

"Diagnosis of Pneumonia using Transfer Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.50-57, April-2020, Available :http://www.jetir.org/papers/JETIR2004207.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

"Diagnosis of Pneumonia using Transfer Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp50-57, April-2020, Available at : http://www.jetir.org/papers/JETIR2004207.pdf

Publication Details

Published Paper ID: JETIR2004207
Registration ID: 230500
Published In: Volume 7 | Issue 4 | Year April-2020
DOI (Digital Object Identifier):
Page No: 50-57
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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