Detection of Lung Cancer Using Deep Learning

International Journal of Research in Engineering, Science and Management

View Publication Info
 
 
Field Value
 
Title Detection of Lung Cancer Using Deep Learning
 
Creator Nagateja, Y.
Renukesh, G.
Gowda, L. Suhas
Shreyas, K. M.
Thirurkrihshna, J. T.
 
Subject lung nodules
deep learning
CNN
computed tomography
deep neural network
 
Description In recent years, many computer-aided diagnostic (CAD) systems have been developed to diagnose various diseases. Early detection of lung cancer is becoming increasingly important, made possible through image processing and deep learning technologies. Nodule detectors and feature-based classifiers make up the majority of CAD systems. Computed tomography can help doctors detect lung cancer early. In many cases, the diagnosis of lung cancer is based on the doctor's experience, which can lead to: some patients being overlooked and causing issues. In several fields of medical imaging diagnostics, deep learning has shown to be a popular and effective strategy. Two types of deep neural networks are used to classify lung cancer, such as CNN and DNN.
 
Publisher RESAIM
 
Date 2022-05-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.journals.resaim.com/ijresm/article/view/1981
 
Source International Journal of Research in Engineering, Science and Management; Vol. 5 No. 4 (2022); 166-168
2581-5792
 
Language eng
 
Relation https://www.journals.resaim.com/ijresm/article/view/1981/1921
 
Rights Copyright (c) 2022 Y. Nagateja, G. Renukesh, L. Suhas Gowda, K. M. Shreyas, J. T. Thirurkrihshna
https://creativecommons.org/licenses/by/4.0
 

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