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 |
|
