UGC Approved Journal no 63975(19)

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

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311252


Registration ID:
528008

Page Number

c365-c368

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Title

An Efficient Deep Learning Technique based Lung Cancer Detection

Abstract

Timely diagnosis and determination to the type of lung cancer diseases has important clinical significance. Generally, it requires multiple imaging methods to complement each other to obtain a comprehensive diagnosis. Various learning methods, such as conventional clustering and classification, have been applied in diagnosing diseases to categorize samples based on their features. Artificial intelligence based machine learning techniques provides accurate prediction model of the various biomedical diseases. This paper presents CNN deep learning technique for prediction of lung cancer diseases.

Key Words

Machine, Features, Lung, Classification, Diagnosis, CNN, Deep Learning

Cite This Article

"An Efficient Deep Learning Technique based Lung Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c365-c368, November-2023, Available :http://www.jetir.org/papers/JETIR2311252.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

"An Efficient Deep Learning Technique based Lung Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc365-c368, November-2023, Available at : http://www.jetir.org/papers/JETIR2311252.pdf

Publication Details

Published Paper ID: JETIR2311252
Registration ID: 528008
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: c365-c368
Country: Varanasi, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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