Machine Learning Based Approach for Detection of Lung Cancer in DICOM CT Image-Reference-Cited by-同舟云学术

Machine Learning Based Approach for Detection of Lung Cancer in DICOM CT Image

Published:2019 Issue: Volume: Page:161-173
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Dev Chethan,Kumar Kripa,Palathil Arjun,Anjali T.,Panicker Vinitha

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-5934-7_15

Reference18 articles.

1. Miah, Md. B.A., Yousuf, M.A.: Detection of lung cancer from CT image using image processing and neural network. In: 2nd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) (2015)

2. Thamilselvan, P., Sathiaseelan, J.G.R.: An enhanced k nearest neighbor method to detecting and classifying MRI lung cancer images for large amount data. Int. J. Appl. Eng. Res. 11, 4223–4229 (2016)

3. Tidke, S.P., Chakkarwar, V.A.: Classification of lung tumor using SVM. Int. J. Comput. Eng. Res. (IJCER) 2(5)

4. Singh, S., Singh, Y., Vijay, R.: An evaluation of features extraction from lung CT images for the classification stage of malignancy. IOSR J. Comput. Eng. (IOSR-JCE), 2278–8727

5. Kanitkar, S., Thombare, N.D., Lokhande, S.S.: Lung cancer detection and classification: a review. Int. J. Eng. Res. Technol. (IJERT) 2(12) (2013)

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