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Current Trends in Science and Technology

an Open Access Publication ISSN: 0976-9730 | 0976-9498

Information Technology

A Survey on Lung Cancer Detection in CT scans Images Using Image Processing Techniques

Jayshree Talukdar
Department of Information Technology, Gauhati University
Dr. Parismita Sarma
Assistant Professor, Gauhati University Department of Information Technology, Gauhati University
Online First: March 15, 2018
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Abstract

Lung cancer is one of the most common form of cancers worldwide, and is responsible for a large number of deaths. Human radiologists typically uses low dose CT scans to assess individual’s risk of lung cancer. The presence of tissue growths called “nodules” that are a common precursor to cancer. However, even for highly trained radiologists, detecting nodules and predicting their relationship to cancer are challenging tasks, leading to both false positive and false negative results that can adversely affect patient health. Also a constant pressure on them to analyses a huge amount of data and making a decision as quickly as possible based on the analysis. So a possible way to decrease this burden on radiologist is by developing a Computer aided diagnosis system that can learn features quickly. In this paper we are highlighting use of image processing techniques, Deep learning algorithms and convolutional networks for analyzing medical images of lung cancer disease.

Keyword : Image Preprocessing, Segmentation, Otsu’s Thresholding,

  Submitted
Mar 15, 2018
Published
Mar 15, 2018
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References

1. Chon, A., Balachandra, N. and Lu, P., 2017. Deep convolutional neural networks for lung cancer detection. tech. rep., Stanford University. 2. Gruetzemacher, R. and Gupta, A., 2016. Using deep learning for pulmonary nodule detection & diagnosis 3. da Silva, G.L., Silva, A.C., de Paiva, A.C. and Gattass, M., Classification of Malignancy of Lung Nodules in CT Images Using Convolutional Neural Network. 4. Alakwaa, W., Nassef, M. and Badr, A., 2017. Lung Cancer Detection and Classification with 3D Convolutional Neural Network (3D-CNN). Lung Cancer, 5. Kumar, D., Wong, A. and Clausi, D.A., 2015, June. Lung nodule classification using deep features in CT images. In Computer and Robot Vision (CRV), 2015 12th Conference on (pp. 133-138). IEEE. 6. Kuruvilla, J. and Gunavathi, K., 2014. Lung cancer classification using neural networks for CT images. Computer methods and programs in biomedicine, ELSEVIER. 7. D. P. Naidich, H. Rusinek, G. McGuinness, B. Leitman, D. I. McCauley. I. Henschke. Variables affecting pulmonary nodule detection with computed tomography: evaluation with three-dimensional computer simulation. 8. https://en.wikipedia.org/wiki/Feedforward_neural_network 9. https://en.wikipedia.org/wiki/Softmax_function 10. https://en.wikipedia.org/wiki/Image_noise 11. https://en.wikipedia.org/wiki/Thresholding_(image_processing) 12. http://www.cancerimagingarchive.net/ 13. Liu, T., Fang, S., Zhao, Y., Wang, P. and Zhang, J., 2015. Implementation of training convolutional neural networks. ArXiv preprint arXiv: 1506.01195. 14. Baker, D., Kilpatrick, J. and Chaudhry, A., Predicting Lung Cancer Incidence from CT Imagery. 2017, SPRING 15. https://www.verywell.com/lung-nodules-symptoms-causes-and-diagnosis-2249304 16. https://en.wikipedia.org/wiki/Cancer 17. Paul, R., Hawkins, S.H., Hall, L.O., Goldgof, D.B. and Gillies, R.J., 2016, October. Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. In Systems, Man, and Cybernetics (SMC), 2016 IEEE 18. Makaju, S., Prasad, P.W.C., Alsadoon, A., Singh, A.K. and Elchouemi, A., 2018. Lung Cancer Detection using CT Scan Images. Procedia Computer Science, 125, 19. Sharma, D. and Jindal, G., 2011. Computer Aided Diagnosis System for Detection of Lung Cancer in CT Scan Images. International Journal of Computer and Electrical Engineering, 20. Tiwari, A.K., 2016. PREDICTION OF LUNG CANCER USING IMAGE PROCESSING TECHNIQUES: A Review. Advanced Computational Intelligence: An International Journal (ACII),
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References

1. Chon, A., Balachandra, N. and Lu, P., 2017. Deep convolutional neural networks for lung cancer detection. tech. rep., Stanford University.
2. Gruetzemacher, R. and Gupta, A., 2016. Using deep learning for pulmonary nodule detection & diagnosis
3. da Silva, G.L., Silva, A.C., de Paiva, A.C. and Gattass, M., Classification of Malignancy of Lung Nodules in CT Images Using Convolutional Neural Network.
4. Alakwaa, W., Nassef, M. and Badr, A., 2017. Lung Cancer Detection and Classification with 3D Convolutional Neural Network (3D-CNN). Lung Cancer,
5. Kumar, D., Wong, A. and Clausi, D.A., 2015, June. Lung nodule classification using deep features in CT images. In Computer and Robot Vision (CRV), 2015 12th Conference on (pp. 133-138). IEEE.
6. Kuruvilla, J. and Gunavathi, K., 2014. Lung cancer classification using neural networks for CT images. Computer methods and programs in biomedicine, ELSEVIER.
7. D. P. Naidich, H. Rusinek, G. McGuinness, B. Leitman, D. I. McCauley. I. Henschke. Variables affecting pulmonary nodule detection with computed tomography: evaluation with three-dimensional computer simulation.
8. https://en.wikipedia.org/wiki/Feedforward_neural_network
9. https://en.wikipedia.org/wiki/Softmax_function
10. https://en.wikipedia.org/wiki/Image_noise
11. https://en.wikipedia.org/wiki/Thresholding_(image_processing)
12. http://www.cancerimagingarchive.net/
13. Liu, T., Fang, S., Zhao, Y., Wang, P. and Zhang, J., 2015. Implementation of training convolutional neural networks. ArXiv preprint arXiv: 1506.01195.
14. Baker, D., Kilpatrick, J. and Chaudhry, A., Predicting Lung Cancer Incidence from CT Imagery. 2017, SPRING
15. https://www.verywell.com/lung-nodules-symptoms-causes-and-diagnosis-2249304
16. https://en.wikipedia.org/wiki/Cancer
17. Paul, R., Hawkins, S.H., Hall, L.O., Goldgof, D.B. and Gillies, R.J., 2016, October. Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. In Systems, Man, and Cybernetics (SMC), 2016 IEEE
18. Makaju, S., Prasad, P.W.C., Alsadoon, A., Singh, A.K. and Elchouemi, A., 2018. Lung Cancer Detection using CT Scan Images. Procedia Computer Science, 125,
19. Sharma, D. and Jindal, G., 2011. Computer Aided Diagnosis System for Detection of Lung Cancer in CT Scan Images. International Journal of Computer and Electrical Engineering,
20. Tiwari, A.K., 2016. PREDICTION OF LUNG CANCER USING IMAGE PROCESSING TECHNIQUES: A Review. Advanced Computational Intelligence: An International Journal (ACII),
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