Brain Image Mining in Cloud based services
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : G.Rajesh Chandra, Dr.K.Ramchand H Rao, Dr.V.V.Jaya Rama Krishaiah|
|DOI : 10.14445/22312803/IJCTT-V47P132|
G.Rajesh Chandra, Dr.K.Ramchand H Rao, Dr.V.V.Jaya Rama Krishaiah"Brain Image Mining in Cloud based services". International Journal of Computer Trends and Technology (IJCTT) V47(4):205-208, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
To identify the present position of a human brain by comparing its images with illness brain images those are already in our data base by using MAT Lab and to predict future behaviour of it after that we can create it as a software as a service.
 http: // www.alz.org/alzheimers _disease_ 10 _ signs_of_alzheimers.asp#signs
 http://www.helpguide.org/articles/ptsd-trauma/ post -traumatic -stress-disorder.htm
 http :// www.sciencedaily.com /releases /2015/ 01/152107122904.htm
 Shah, S.and Parikh, S. 2010. Issues in medical diagnosis using Computational techniques. fourth international conference on computational intelligence and communication networks, IEEE.
 Rajendran, P., Madheswaran, M. and Naganandhini, K. 2010. An Improved Pre-Processing Technique with Image Mining Approach for the Medical Image Classification. Second International conference on Computing, Communication and Networking Technologies,
 Isola, R. and Carvalho, R. 2012. “Knowledge discovery in medical systems using Differential diagnosis, LAMSTAR, and k-NN”, IEEE transactions on information technology in biomedicine, vol. 16, no. 6.
 Padma, A. and Sukanesh, R. 2013. “SVM based classification of soft tissues in brain CT images using wavelet based dominant gray level run length texture features”, middle-east journal of scientific research 13(7): 883-888.
 Abdullah, N., Ngah, U.K., and Aziz, S.A. 2011. “Image Classification of Brain MRI using support vector machine”, IEEE.
 Ubaidillah, S.H.S.A., Sallehuddin, R. and Ali, N.A. 2013. “Cancer detection using artificial neural network and support vector machine:A Comparative study”, jurnal teknologi(science & engineering) 65:1.
 Rajendran, P. and Madheswaran, M. 2010. “Hybrid medical image classification using association rule mining with decision tree algorithm”, journal of computing, volume 2, issue 1.
 Badarnel, A.A., Nafadat, H. and Alraziqi A.M. 2012. A classifier to detect tumor disease in brain MRI brain images. ACM international conference on advances in social networks analysis and mining, IEEE.
 S.N. Deepa and B.A. Devi 2012. Artificial neural networks design for classification of brain tumour. International Conference on Computer Communication and Informatics (ICCCI -2012), Jan. 10 – 12, Coimbatore, INDIA.
 M.E. ElAlami.A novel image retrieval model based on the most relevant features,Knowledge-Based Systems 24 (2011)2332,Elsevier.
 Peter Stanchev,Kettering University,Flint, Michigan, USA.Using Image Mining for Image Retrieval,IASTED conf."ComputerScience and Technology",may 19-21,2003 Cancum,Mexico,214-218.
 H. Mohamadi, A. Shahbahrami, J. Akbari, “Image retrieval using the combination of text-based and contentbased algorithms”, Journal of AI and Data Mining, Published online: 20, February- 2013.
. V. Gudivada and V. Raghavan. Content-based image retrieval systems. IEEE Computer, 28(9):18–22, September 1995.
. J. Han and M. Kamber. “Data Mining, Concepts and Techniques”, Morgan Kaufmann, 2000.
. Peter Stanchev, “Image Mining for Image Retrieval”, In Proceedings of the IASTED Conference on Computer Science and Technology, pp 214-218, 2003.
. Shubham Arjariya, Dr. Mahesh Motwani, Dr. SHIKHA AGRAWAL "A Survey on Image Segmentation Using Threshoding Methods". International Journal of Computer Trends and Technology (IJCTT) V41(2):59-66, November 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group
 Amjad Khan, Zahid Ansari "Soft Computing based Medical Image Mining: A Survey". International Journal of Computer Trends and Technology (IJCTT) V27(2):76-79, September 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group
 Y.V.Sri Varsha , S.Prayla Shyry."A Novel Approach for Identifying the Stages of Brain Tumor". International Journal of Computer Trends and Technology (IJCTT) V10(2):92-96, Apr 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Alzheimer, Pick, Post-Traumatic Stress, Brain Imaging, Agnes Clustering Algorithm, Feature Vector Algorithm.