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Lung Nodule Classification Techniques for Low Dose Computed Tomography (LDCT) Scan Images as Survey
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 131 - Number 14 |
| Year of Publication: 2015 |
| Authors: Suganya A., Mohanapriya N., B. Kalaavathi |
10.5120/ijca2015907464
|
Suganya A., Mohanapriya N., B. Kalaavathi . Lung Nodule Classification Techniques for Low Dose Computed Tomography (LDCT) Scan Images as Survey. International Journal of Computer Applications. 131, 14 ( December 2015), 12-15. DOI=10.5120/ijca2015907464
Abstract
Image classification is one of the most complex areas in image processing. It is more complex and difficult to classify if it contain blurry and noisy content. Medical image Classification is an important task within the field of computer vision. Here, perform four type of lung nodules classification , i.e., well-circumscribed, vascularized, juxta-pleural and pleural-tail, in low dose computed tomography (LDCT) scans images. The classification method combine the lung nodule and surrounding anatomical structures through contextual analysis. Here, presents a survey on the various techniques used for classifying image which is mainly based on object in the given image. The proposed method was classified on a publicly available dataset.
References
- S. Diciotti, G. Picozzi, M. Falchini, M. Mascalchi, N. Villari, and G. Valli, “3-D segmentation algorithm of small lung nodules in spiral CT images,” IEEE Trans. Information Technology in Biomedicine, vol. 12, no. 1, pp. 7–19, 2008.
- Pooja Kamavisdar, Sonam Saluja, Sonu Agrawal, " A Survey on Image Classification Approaches and Techniques ", International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 1, 2013.
- S.Archana, Dr. K.Elangovan ," Survey of Classification Techniques in Data Mining " International Journal of Computer Science and Mobile Applications, Vol.2 Issue. 2, pg. 65-71,2014.
- S.Arunadevi1,Dr. S. Daniel Madan Raja, " A Survey on Image Classification Algorithm Based on Per-pixel ", International Journal of Engineering Research and General Science Volume 2, Issue 6, October-November 2014.
- M.Soundarya, R.Balakrishnan," Survey on Classification Techniques in Data mining ", International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 7, July 2014.
- Ravivarman.R, Sasirekha.N," Survey On Lung Nodule Classifications ", International Journal of Research in Engineering and Technology ,Volume: 04 Issue: 01 ,2015.
- Jipsa Kurian, V.Karunakaran," A Survey on Image Classification Methods ", International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 1, Issue 4, October 2012.
- Ameet Joshi, Shweta Bapna, Sravanya Chunduri, " Comparison Study of Different Pattern Classifiers", Mulder server at MSU,2012.
- Fan Zhang ,Yang Song,Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Fulham M.J., Feng D.D.,”Lung Nodule Classification With Multilevel Patch BasedContext Analysis”, IEEE transaction on Biomedical Engineering,volume:61,2014 , Page(s): 1155 – 1166.
- M. Gomathi and Dr. P. Thangaraj," Lung Nodule Detection using a Neural Classifier", IACSIT International Journal of Engineering and Technology, Vol.2, No.3, June 2010.
- P Sathya, L Malathi, "Classification and segmentation in satellite imagery using back propagation algorithm of ANN and k-means algorithm", Int J Mach Learn Comput, Volume 1,Issue 4 Pages 422-426 2011.
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