A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm
Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs located in the chest. These cells may penetrate outside the lungs in a process called metastasis and spread to tissues and organs in the body. In this paper, using image processing, deep learning, and m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384530/ https://www.ncbi.nlm.nih.gov/pubmed/34447429 http://dx.doi.org/10.1155/2021/3694723 |
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author | Lu, Xinrong Nanehkaran, Y. A. Karimi Fard, Maryam |
author_facet | Lu, Xinrong Nanehkaran, Y. A. Karimi Fard, Maryam |
author_sort | Lu, Xinrong |
collection | PubMed |
description | Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs located in the chest. These cells may penetrate outside the lungs in a process called metastasis and spread to tissues and organs in the body. In this paper, using image processing, deep learning, and metaheuristic, an optimal methodology is proposed for early detection of this cancer. Here, we design a new convolutional neural network for this purpose. Marine predators algorithm is also used for optimal arrangement and better network accuracy. The method finally applied to RIDER dataset, and the results are compared with some pretrained deep networks, including CNN ResNet-18, GoogLeNet, AlexNet, and VGG-19. Final results showed higher results of the proposed method toward the compared techniques. The results showed that the proposed MPA-based method with 93.4% accuracy, 98.4% sensitivity, and 97.1% specificity provides the highest efficiency with the least error (1.6) toward the other state of the art methods. |
format | Online Article Text |
id | pubmed-8384530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-83845302021-08-25 A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm Lu, Xinrong Nanehkaran, Y. A. Karimi Fard, Maryam Comput Intell Neurosci Research Article Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs located in the chest. These cells may penetrate outside the lungs in a process called metastasis and spread to tissues and organs in the body. In this paper, using image processing, deep learning, and metaheuristic, an optimal methodology is proposed for early detection of this cancer. Here, we design a new convolutional neural network for this purpose. Marine predators algorithm is also used for optimal arrangement and better network accuracy. The method finally applied to RIDER dataset, and the results are compared with some pretrained deep networks, including CNN ResNet-18, GoogLeNet, AlexNet, and VGG-19. Final results showed higher results of the proposed method toward the compared techniques. The results showed that the proposed MPA-based method with 93.4% accuracy, 98.4% sensitivity, and 97.1% specificity provides the highest efficiency with the least error (1.6) toward the other state of the art methods. Hindawi 2021-08-11 /pmc/articles/PMC8384530/ /pubmed/34447429 http://dx.doi.org/10.1155/2021/3694723 Text en Copyright © 2021 Xinrong Lu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lu, Xinrong Nanehkaran, Y. A. Karimi Fard, Maryam A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm |
title | A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm |
title_full | A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm |
title_fullStr | A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm |
title_full_unstemmed | A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm |
title_short | A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm |
title_sort | method for optimal detection of lung cancer based on deep learning optimized by marine predators algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384530/ https://www.ncbi.nlm.nih.gov/pubmed/34447429 http://dx.doi.org/10.1155/2021/3694723 |
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