Paper Title

Research on Lung Cancer Detection Using Artificial Intelligence

Authors

Nishigandha Sudhakar Wagh , Sonali Rajendra Beldar , Prajakta Parashram Arkhade , Shobha Rajendra Wagh , Prof. Chandgude A.S

Keywords

Lung Cancer, CNN, Computed Tomography, computer vision.

Abstract

: Identification of lung cancer is an efficient way to minimize the death rate and maximize survival rate of patients. It is an essential step to screen out the computed tomography (CT) images for pulmonary nodules towards the efficient treatment of lung cancer. However, robust nodule identification and detection is a most critical task due the complexity of the surrounding environment and heterogeneity of the lung nodules. The use of machine learning to detect, predict, and classify disease has grown exponentially in the past few years, especially for complex tasks such as lung cancer detection and recognition. Deep Convolutional neural networks (DCNN) have exploded in popularity for transforming the field of computer vision research. In this paper, we are using Deep Convolutional Neural Network for lung cancer classification using CT images-based lung cancer image dataset consortium (LIDC) for detecting cancerous and noncancerous lung nodules for measuring the accuracy of classification better than existing methods.

How To Cite

"Research on Lung Cancer Detection Using Artificial Intelligence", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.305 - 308, May-2022, Available :https://ijsdr.org/papers/IJSDR2205058.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 305 - 308

Other Publication Details

Paper Reg. ID: IJSDR_200347

Published Paper Id: IJSDR2205058

Downloads: 000347204

Research Area: Engineering

Country: Nandgaon, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2205058

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2205058

About Publisher

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

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