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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM30642

Detection of Lung Diseases Using Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM30642

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ST

Salve Trushna

NP

Nagare Pooja

SG

Shinde Gayatri

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Abstract

Cancer is a very common disease type in worldwide. There are many types of cancer. Lung cancer is the most common type of cancer. Lung cancer which is common in both men and women can be fatal. The initiation of treatment by diagnosing cancer is important in reducing the risk of death. In this paper, classification of lung nodules is performs using CT images of SPIE-AAPM-LungX data. Deep learning has been a popular choice for the classification process in recent years. Especially it is used in the implementation of tensorFlow and 3D convolutional neural network architecture from deep learning libraries.

KEYWORDS

Lung cancer Deep learning ResNet image classification.

Cite This Article

Salve Trushna, Nagare Pooja, Shinde Gayatri, "Detection of Lung Diseases Using Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

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12/31/45393

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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