This paper focuses on early stage lung cancer detection. Lung cancer is prominent cancer as it states large number of deaths of more than a million every year. It creates need of detecting the lung nodule at early stage in Computer Tomography medical images. So to detect the occurrence of cancer nodule at early stage, the requirement of methods and techniques is increasing. There are different methods and techniques existing but none of them provide a better accuracy of detection. One of the techniques is content based image retrieval Computer Aided Diagnosis System (CAD) for early detection of lung nodules from the Chest Computer Tomography (CT) images. This optimization algorithm allows physicians to identify the nodules present in the CT lung images in the early stage hence the lung cancer. The MATLAB image processing toolbox based implementation is done on the CT lung images and the classifications of these images are carried out. The performance measures like the classification rate and the false positive rates are analyzed.
| DOI | 10.11648/j.ijmi.20170505.12 |
| Published in | International Journal of Medical Imaging (Volume 5, Issue 5, September 2017) |
| Page(s) | 58-62 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Classification, Lung Cancer Detection, Accuracy, Image Processing Techniques
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APA Style
Munimanda Prem Chander, M. Venkateshwara Rao, T. V. Rajinikanth. (2017). Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study. International Journal of Medical Imaging, 5(5), 58-62. https://doi.org/10.11648/j.ijmi.20170505.12
ACS Style
Munimanda Prem Chander; M. Venkateshwara Rao; T. V. Rajinikanth. Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study. Int. J. Med. Imaging 2017, 5(5), 58-62. doi: 10.11648/j.ijmi.20170505.12
AMA Style
Munimanda Prem Chander, M. Venkateshwara Rao, T. V. Rajinikanth. Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study. Int J Med Imaging. 2017;5(5):58-62. doi: 10.11648/j.ijmi.20170505.12
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Download@article{10.11648/j.ijmi.20170505.12,
author = {Munimanda Prem Chander and M. Venkateshwara Rao and T. V. Rajinikanth},
title = {Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study},
journal = {International Journal of Medical Imaging},
volume = {5},
number = {5},
pages = {58-62},
doi = {10.11648/j.ijmi.20170505.12},
url = {https://doi.org/10.11648/j.ijmi.20170505.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20170505.12},
abstract = {This paper focuses on early stage lung cancer detection. Lung cancer is prominent cancer as it states large number of deaths of more than a million every year. It creates need of detecting the lung nodule at early stage in Computer Tomography medical images. So to detect the occurrence of cancer nodule at early stage, the requirement of methods and techniques is increasing. There are different methods and techniques existing but none of them provide a better accuracy of detection. One of the techniques is content based image retrieval Computer Aided Diagnosis System (CAD) for early detection of lung nodules from the Chest Computer Tomography (CT) images. This optimization algorithm allows physicians to identify the nodules present in the CT lung images in the early stage hence the lung cancer. The MATLAB image processing toolbox based implementation is done on the CT lung images and the classifications of these images are carried out. The performance measures like the classification rate and the false positive rates are analyzed.},
year = {2017}
}
TY - JOUR T1 - Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study AU - Munimanda Prem Chander AU - M. Venkateshwara Rao AU - T. V. Rajinikanth Y1 - 2017/12/09 PY - 2017 N1 - https://doi.org/10.11648/j.ijmi.20170505.12 DO - 10.11648/j.ijmi.20170505.12 T2 - International Journal of Medical Imaging JF - International Journal of Medical Imaging JO - International Journal of Medical Imaging SP - 58 EP - 62 PB - Science Publishing Group SN - 2330-832X UR - https://doi.org/10.11648/j.ijmi.20170505.12 AB - This paper focuses on early stage lung cancer detection. Lung cancer is prominent cancer as it states large number of deaths of more than a million every year. It creates need of detecting the lung nodule at early stage in Computer Tomography medical images. So to detect the occurrence of cancer nodule at early stage, the requirement of methods and techniques is increasing. There are different methods and techniques existing but none of them provide a better accuracy of detection. One of the techniques is content based image retrieval Computer Aided Diagnosis System (CAD) for early detection of lung nodules from the Chest Computer Tomography (CT) images. This optimization algorithm allows physicians to identify the nodules present in the CT lung images in the early stage hence the lung cancer. The MATLAB image processing toolbox based implementation is done on the CT lung images and the classifications of these images are carried out. The performance measures like the classification rate and the false positive rates are analyzed. VL - 5 IS - 5 ER -
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