Detection of Lung Cancer

June 2022
Vol-8, Issue-3
Paper ID: 17274
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Bio Medical Image Processing
Keywords
SVM KNN Cancer Diagnosis LBP
Abstract
Lung Cancer in today’s world is one among the major outspread diseases which is the subject of maximum deaths every year. Early detection of lung cancer could boost the endurance rate. Biomedical image processing plays a vital role in the recognition of lung tumor using Computer Tomography (CT) scan images. In the detection Process lung CT images are subjected to image preprocessing followed by feature extraction and it is given to classification technique. Even though various image processing techniques and machine learning methods are applied for detection of lung cancer detection they are not accurate. There need to develop the best technique for the detection which improves the accuracy. In this paper we proposing two techniques SVM and KNN for the texture feature classification. These techniques comprises feature extraction, fusion using the patch base LBP(Local Binary Pattern) and DCT(Discrete Cosine Transform). The proposed techniques achieves better accuracy of 93% and 91% for Support Vector Machine and K-Nearest Neighbors respectively.

Author Information

# Name Institute / Affiliation
1 PENDEM HEMANTH KUMAR VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
2 R J S SUMANTH VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
3 VUYYALA THARAK NATH VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
4 SHAIK MOHAMMAD AYAZ VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style
KUMAR, PENDEM HEMANTH, SUMANTH, R J S, NATH, VUYYALA THARAK, & AYAZ, SHAIK MOHAMMAD (2022). Detection of Lung Cancer. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 3622-3626.
MLA Style
KUMAR, PENDEM HEMANTH, et al. "Detection of Lung Cancer." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 3622-3626.
IEEE Style
PENDEM HEMANTH KUMAR, R J S SUMANTH, VUYYALA THARAK NATH, and SHAIK MOHAMMAD AYAZ, "Detection of Lung Cancer," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 3622-3626, 2022.
Vancouver Style
KUMAR PENDEM HEMANTH, SUMANTH R J S, NATH VUYYALA THARAK, AYAZ SHAIK MOHAMMAD. Detection of Lung Cancer. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):3622-3626.
Harvard Style
KUMAR, PENDEM HEMANTH, SUMANTH, R J S, NATH, VUYYALA THARAK, & AYAZ, SHAIK MOHAMMAD (2022) 'Detection of Lung Cancer', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 3622-3626.
Chicago Style
KUMAR, PENDEM HEMANTH, et al. "Detection of Lung Cancer." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3622-3626.
Turabian Style
KUMAR, PENDEM HEMANTH, et al. "Detection of Lung Cancer." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3622-3626.

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