An Automatic Segmentation based early detection of Lung Tumor
Abstract & Details
Research Area
Image processing
Keywords
Computer Tomography (CT)
Image Segmentation
Lunge Tumor
GFCM
ANN
Abstract
Starting late, image get ready frameworks are by and large used as a part of a couple of restorative zones for image change in earlier distinguishing proof and treatment stages, where the time component is basic to discover the peculiarity issues in target pictures, especially in various development tumors, for instance, lung tumor, bosom growth, et cetera. Lung tumor is the most extraordinary sort of threat among each one of the illnesses with less survival rate. It is outstandingly difficult to inspect the development at its underlying stage. The majority of work done on the CT check picture as a result of good clarity and low commotion. In this paper, distinctive methods have been discussed for the area of lung tumor and to group whether it is kind or dangerous with the assistance of ANN and find out small tumor more acuuratly using GFCM and ANN algorithm.
License
This work is licensed under a Creative
Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Damodar Dipika A. | L. J. Institute of Engineering and Technology |
| 2 | Prof. Krunal Panchal | L. J. Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
A., Damodar Dipika & Panchal, Prof. Krunal (2016). An Automatic Segmentation based early detection of Lung Tumor. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 558-562.
MLA Style
A., Damodar Dipika, and Prof. Krunal Panchal. "An Automatic Segmentation based early detection of Lung Tumor." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 558-562.
IEEE Style
Damodar Dipika A. and Prof. Krunal Panchal, "An Automatic Segmentation based early detection of Lung Tumor," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 558-562, 2016.
Vancouver Style
A. Damodar Dipika, Panchal Prof. Krunal. An Automatic Segmentation based early detection of Lung Tumor. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):558-562.
Harvard Style
A., Damodar Dipika & Panchal, Prof. Krunal (2016) 'An Automatic Segmentation based early detection of Lung Tumor', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 558-562.
Chicago Style
A., Damodar Dipika and Prof. Krunal Panchal. "An Automatic Segmentation based early detection of Lung Tumor." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 558-562.
Turabian Style
A., Damodar Dipika and Prof. Krunal Panchal. "An Automatic Segmentation based early detection of Lung Tumor." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 558-562.
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