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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: DETECTION OF PULMONARY DISEASES USING DEEP LEARNING
Authors Name: P.Vijay Bhaskar Reddy , Y.V.Ramesh
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IJRTI_187480
Published Paper Id: IJRTI2306166
Published In: Volume 8 Issue 6, June-2023
DOI:
Abstract: Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is essential. Many image processing and machine learning models have been developed for this purpose. Different forms of existing deep learning techniques including convolutional neural network (CNN), vanilla neural network, visual geometry group based neural network (VGG), and capsule network are applied for lung disease prediction. The basic CNN has poor performance for rotated, tilted, or other abnormal image orientation and VDSNet hybrid model is not efficient for large datasets. Therefore, we use DenseNet a CNN architecture to detect lung diseases from chest x-ray images.This deep learning model is very dense network which helps the doctors to diagnosis the disease more efficiently.
Keywords: Computer Vision, Pulmonary Diseases,Deep Learning,DenseNet,CNN
Cite Article: "DETECTION OF PULMONARY DISEASES USING DEEP LEARNING", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1115 - 1121, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306166.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2306166
Registration ID:187480
Published In: Volume 8 Issue 6, June-2023
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Page No: 1115 - 1121
Country: NELLORE, ANDHRA PRADESH, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306166
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306166
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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