UGC Approved Journal no 63975(19)

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

Volume 9 Issue 10
October-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2210240


Registration ID:
503548

Page Number

c313-c318

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Title

LUNG CANCER CLASSIFICATION AND IDENTIFICATION USING AN IMPROVED CONVOLUTIONAL NEURAL NETWORK ON COMPUTED TOMOGRAPHY

Abstract

Lung cancer is the most serious illness, with a higher number of deaths in both men and women, making detection difficult. Identification and categorization of lung cancer tumours at an early stage can save the lives of a greater number of patients through correct diagnosis and therapy, lowering the mortality rate and increasing the survival rate. Machine learning technology opens the door to forecast, detect, and categorize this illness, but deep learning under machine learning provides a wide range of options for analysing and evaluating tumour characteristics from CT scans. The approach recommended in this work provides a precise and unambiguous classification for the VGG-16 model and its improved model, which has more hidden layers. The system was trained using the LIDC-CT imaging dataset, and the findings reveal that the Improved VGG-16 model and the VGG-16 model both had extremely low false positive rates of 0.0576 and 0.13 and high classification accuracy of 97% and 86%, respectively.

Key Words

Lung Cancer, Computed Tomography, Machine Learning, Deep Networks.

Cite This Article

"LUNG CANCER CLASSIFICATION AND IDENTIFICATION USING AN IMPROVED CONVOLUTIONAL NEURAL NETWORK ON COMPUTED TOMOGRAPHY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.c313-c318, October-2022, Available :http://www.jetir.org/papers/JETIR2210240.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 CANCER CLASSIFICATION AND IDENTIFICATION USING AN IMPROVED CONVOLUTIONAL NEURAL NETWORK ON COMPUTED TOMOGRAPHY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppc313-c318, October-2022, Available at : http://www.jetir.org/papers/JETIR2210240.pdf

Publication Details

Published Paper ID: JETIR2210240
Registration ID: 503548
Published In: Volume 9 | Issue 10 | Year October-2022
DOI (Digital Object Identifier):
Page No: c313-c318
Country: Visakhapatnam, Andhra Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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