UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1809735


Registration ID:
189245

Page Number

625-633

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Title

Lung Carcinoma Identification Through Support Vector Machines And Convolutional Neural Network

Abstract

The proposed organize comprises of 5 convolutional layers with 2×2 pieces and Defective ReLU actuations, trailed by normal pooling with estimate equivalent to the span of the last element maps and three thick layers. The last thick layer has 7 yields, proportional to the classes considered: solid, ground glass obscurity (GGO), micronodules, solidification, reticulation, honeycombing and a blend of GGO/reticulation. To prepare and assess the CNN, we utilized a dataset of 14696 picture patches, determined by 120 CT filters from various scanners and clinics. A comparative analysis proved the effectiveness of the proposed CNN against previous method with the classification performance (~85.5%) demonstrated the potential of CNNs in analyzing lung patterns.

Key Words

CNN, ReLU actuations, SVM

Cite This Article

"Lung Carcinoma Identification Through Support Vector Machines And Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.625-633, September-2018, Available :http://www.jetir.org/papers/JETIR1809735.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

"Lung Carcinoma Identification Through Support Vector Machines And Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp625-633, September-2018, Available at : http://www.jetir.org/papers/JETIR1809735.pdf

Publication Details

Published Paper ID: JETIR1809735
Registration ID: 189245
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 625-633
Country: Chickballapur, Karnatakaa, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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