UGC Approved Journal no 63975(19)

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

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2006167


Registration ID:
234154

Page Number

1174-1179

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Title

PNEUMONIA PREDICTION USING MEDICAL IMAGE MODALITY

Abstract

Pneumonia is a disease which occurs in the lungs caused by a bacterial infection. Early diagnosis is an important factor for the successful treatment process. Generally, the disease can be diagnosed from chest X-ray images by an expert radiologist. The diagnoses can be subjective for some reasons such as the appearance of disease which can be unclear in chest X-ray images or can be confused with other diseases. It is also much more difficult to make clinical diagnoses with chest X-rays than with other imaging modalities. Therefore a computer aided diagnosis systems are needed as tools to assist in the clinical interpretation of chest x-rays would therefore fulfill an unmet need.To solve this problem we have developed an application that detects Pneumonia and predicts the accurate probability values.

Key Words

CNN,Deep neural networks,Onnx,Keras,VGG16.

Cite This Article

"PNEUMONIA PREDICTION USING MEDICAL IMAGE MODALITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1174-1179, June-2020, Available :http://www.jetir.org/papers/JETIR2006167.pdf

ISSN


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 PREDICTION USING MEDICAL IMAGE MODALITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1174-1179, June-2020, Available at : http://www.jetir.org/papers/JETIR2006167.pdf

Publication Details

Published Paper ID: JETIR2006167
Registration ID: 234154
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1174-1179
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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