Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Brain tumour classification using two-tier classifier with adaptive segmentation technique

Loading full text...

Full text loading...

/deliver/fulltext/iet-cvi/10/1/IET-CVI.2014.0193.html;jsessionid=1gxv673hj69au.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fiet-cvi.2014.0193&mimeType=html&fmt=ahah

References

    1. 1)
      • 27. TCIA Collections’, from http://www.cancerimagingarchive.net/.
    2. 2)
    3. 3)
      • 1. Qurat-Ul-Ain, L.G., Kazmi, S.B., Jaffar, M.A., Mirza, A.M.: ‘Classification and segmentation of brain tumor using texture analysis’, Recent Adv. Artif. Intell. Knowl. Eng. Data Bases, 2010, 10, pp. 147155.
    4. 4)
      • 6. Rajini, N.H., Narmatha, T., Bhavani, R.: ‘Automatic classification of MR brain tumor images using decision tree’. Special Issue of Int. J. of Computer Applications on Int. Conf. on Electronics, Communication and Information Systems (ICECI 12), 2012, pp. 1013.
    5. 5)
      • 8. Bandyopadhyay, S.K.: ‘Detection of brain tumor-a proposed method’, J. Global Res. Comput. Sci., 2011, 2, (1), pp. 5563.
    6. 6)
      • 10. John, P.: ‘Brain tumor classification using wavelet and texture based neural network’, Int. J. Sci. Eng. Res., 2012, 3, (10), pp. 17.
    7. 7)
      • 2. Khalid, N.E.A., Ibrahim, S., Haniff, P.N.M.M.: ‘MRI brain abnormalities segmentation using K-nearest neighbors (k-NN)’, Int. J. Comput. Sci. Eng. (IJCSE), 2011, 3, (2), pp. 980990.
    8. 8)
      • 12. Jayachandran, A., Dhanasekaran, R.: ‘Brain tumor detection and classification of MR images using texture features and fuzzy SVM classifier’, Res. J. Appl. Sci. Eng. Technol., 2013, 6, (12), pp. 22642269.
    9. 9)
      • 18. Steenwijk, M.D., Pouwels, P.J.W., Daams, M., et al: ‘Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs)’, Neuro-Image, 2013, 3, pp. 462469.
    10. 10)
    11. 11)
      • 7. Armstrong, T.S., Cohen, M.Z., Weinbrg, J., Gilbert, M.R.: ‘Imaging techniques in neuro oncology’, Semoncnur, 2004, 20, (4), pp. 231239.
    12. 12)
      • 25. Ramteke, R.J., Monali, Y.K.: ‘Automatic medical image classification and abnormality detection using K-nearest neighbour’, Int. J. Adv. Comput. Res.s, 2012, 2, (4), pp. 190196.
    13. 13)
    14. 14)
    15. 15)
      • 15. Padma, A., Sukanesh, R.: ‘Automatic diagnosis of abnormal tumor region from brain computed tomography images using wavelet based statistical texture features’, Int. J. Comput. Sci., Eng. Inf. Technol. (IJCSEIT), 2011, 1, (3).
    16. 16)
      • 5. Ricci, P.E., Dungan, D.H.: ‘Imaging of low and intermediate-grade gliomas’, Semradonc, 2001, 11, (2), pp. 103112.
    17. 17)
      • 3. Aslam, H.A., Ramashri, T., Ahsan, M.I.A.: ‘A new approach to image segmentation for brain tumor detection using pillar K-means algorithm’, Int. J. Adv. Res. Comput. Commun. Eng., 2013, 2, (3), pp. 14291436.
    18. 18)
      • 11. Naik, J., Patel, S.: ‘Tumor detection and classification using decision tree in brain MRI’, Int. J. Eng. Develop. Res., 2013, 14, (6), pp. 4953.
    19. 19)
    20. 20)
    21. 21)
      • 26. Barakbah Ridho, A., Kiyoki, Y.: ‘A pillar algorithm for k-means optimization by distance maximization for initial centroid designation’. Proc. of IEEE Symp. on Computational Intelligence and Data Mining, 2009, pp. 6168.
    22. 22)
    23. 23)
    24. 24)
    25. 25)
      • 17. Gholipour, A., Asl, A.A., Estroff, J.A., Warfield, S.K.: ‘Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculo-megaly’, Neuro-Image, 2012, 60, (3), pp. 18191831.
    26. 26)
      • 9. Anbeek, P., Vincken, K.L., Viergever, M.A.: ‘Automated MS-lesion segmentation by K-nearest neighbor classification’, Midas J. MS Lesion Segmentation (MICCAI 2008 Workshop), 2008.
    27. 27)
      • 24. Gonzales, R.C., Woods, R.E.: ‘Digital image processing’ (Prentice Hall, 2002, 2nd edn.).
    28. 28)
      • 4. Maity, A., Pruitt, A.A., Judy, K.D.: ‘Cancer of the central nervous system’ (Clinical Oncology, 2008, 4th edn.).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cvi.2014.0193
Loading

Related content

content/journals/10.1049/iet-cvi.2014.0193
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address