UGC Approved Journal no 63975

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2107327


Registration ID:
312410

Page Number

c449-c452

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Title

A SURVEY ON LUNG CANCER DETECTION USING CONVOLUTION NEURAL NETWORK IN CT IMAGES

Abstract

Lung Cancer in today’s world is one among the major outspread disease which is the subject of maximum deaths every year. Early and accurate lung cancer detection could boost the endurance rate. Medical image processing play a significant role in an identification of lung tumor using Computer Tomography (CT) scans images. At present, many approaches are present for definite disclosure of lung nodules. Especially, Convolution Neural Network on the basis of deep learning boosted the success amount of recognition and analysis of lung tumor. This paper reviewed the different approaches for lung cancer detection with Convolution Neural Network (CNN). The different objections in CNN for further increasing the accurate detection of lung tumor are addressed

Key Words

Convolution Neural Network, LIDC, Lung Cancer Detection, 3D CNN

Cite This Article

"A SURVEY ON LUNG CANCER DETECTION USING CONVOLUTION NEURAL NETWORK IN CT IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.c449-c452, July-2021, Available :http://www.jetir.org/papers/JETIR2107327.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

"A SURVEY ON LUNG CANCER DETECTION USING CONVOLUTION NEURAL NETWORK IN CT IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppc449-c452, July-2021, Available at : http://www.jetir.org/papers/JETIR2107327.pdf

Publication Details

Published Paper ID: JETIR2107327
Registration ID: 312410
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: c449-c452
Country: MYSORE, KARNATAKA , India .
Area: Engineering
ISSN Number: 2349-5162


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