Lung Cancer Detection Using 3D Convolution Neural Network

Poovarasan P , Saravanan S , Nishanth Kumar R , Shobana S

Deep learning, 3D CNN

Lung cancer is one of the most deathful disease in the world. The detection of the lung cancer in the early stage is challenging one. Early detection is the best chance to recovery. The paper represents an approach which utilize a 3D Convolution Neural Network (CNN) to determine the whether a person as cancer or not. The accuracy obtained by means of 3D-CNN is 95%, when compare to the traditional neural network system which is more efficient.

Published Paper   E-Certificate

"Lung Cancer Detection Using 3D Convolution Neural Network", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 3, page no.352 - 353, March-2021, Available :https://ijsdr.org/papers/IJSDR2103057.pdf

Volume 6 Issue 3, March-2021

Pages : 352 - 353

Paper Reg. ID: IJSDR_193048

Published Paper Id: IJSDR2103057

Downloads: 000347070

Research Area: Engineering

Country: Chennai, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2103057

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2103057

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition