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Analysis of a novel MRI Based Brain Tumour Classification Using Probabilistic Neural Network (PNN)

Authors(3):

Tasnim Azad Abir, Jinat Ara Siraji, Eftekhar Ahmed
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Now-a-days the most horrendous curse to mankind is cancer. But if we can detect the tumour at an early stage, at least we can make an attempt to cure it. MRI is perhaps the most popular non-invasive imaging diagnostic technique which does not use any radio-active energy harmful for body tissue. Pre-processing of MRI images helps the detection method to eliminate computational complexity. The redundant pixels of an image can be removed by DCT. Feature values can reveal certain properties of an image. GLCM (Gray Level Co-occurrence Matrix) is an efficient way to extract the feature values. These feature values can be used as the input of a PNN structure. PNN is widely used in classification and pattern recognition problems. The prototype designed has desired accuracy, specificity and sensitivity.

Tasnim Azad Abir, Jinat Ara Siraji, Eftekhar Ahmed

Brain tumour, MRI, GLCM, Feature Extraction, Classification, Accuracy.

  1. Sonali B. Gaikwad and Madhuri S. Joshi “Brain Tumour Classification using Principal Component Analysis and Probabilistic Neural Network”, International Journal of Computer Applications (0975 – 8887) Volume 120 – No.3, June 2015.
  2. GPreethi and Mr.V.Sornagopal.” MRI Image Classification Using GLCM Texture Features” IEEE GCC Conference and Exibition,Pages: 295-298,2011.
  3. Issac H.Bankman, Hand book of Medical Image processing and Analysis, Academic Press, 2009.
  4. Shobana G and Ranjith Balakrishnan “Brain Tumour Diagnosis From MRI Feature Analysis – A Comparative Study” , IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15.
  5. Othman, Mohd Fauzi and Mohd Ariffanan Mohd Basri. "Probabilisticneural network for brain tumour classification." Intelligent Systems, Modelling and Simulation (ISMS), 2011 Second International Conference on. IEEE, 2011
  6. Geordiadis, Et all, “Improving brain tumour characterization on MRI by probabilistic neural networks and non-linear transformation of textural Features”,computer methods and program in biomedicine, vol 89,pp2432,2008.
  7. Specht, Donald F. "Probabilistic neural networks for classification, mapping, or associative memory." Neural Networks, 1988., IEEE International Conference on. IEEE, 1988.
  8. Noramalina Abdullah, Umi Kalthum Ngah, Shalihatun Azlin Aziz. "Image Classification of Brain MRI Using Support Vector Machine" 978-1-61284-896-9/11/$26.00 ©2011 IEEE.
  9. Kailash D.Kharat & Pradyumna P.Kulkarni &M.B.Nagori “Brain Tumour Classification Using Neural Network Based Methods”.
  10. Georgiadis. Et all , “ Improving brain tumour characterization on MRI by probabilistic neural networks and non-linear transformation of textural features”,Computer Methods and program in biomedicine, vol 89, pp24-32, 2008.
  11. Pauline John “Brain Tumour Classification Using Wavelet And Texture Based Neural Network” International Journal Of Scientific & Engineering Research Volume 3, Issue 10, October-2012 1 ISSN 2229-5518.
  12. Varada S.Kolge ,Prof.K.V.Kulhalli, "A novel approach to automated Brain tumour Classification using Probabilistic Neural Network", International Journal ojComputational Engineerin ResearchS (ijcrtonline) Vol. 2 Issue.7.201 2.
  13. Geordiadis, Et all, “Improving brain tumour characterization on MRI by probabilistic neural networks and non-linear transformation of textural Features”,computer methods and program in biomedicine, vol 89,pp24-32,2008

Publication Details

Published in : Volume 4 | Issue 8 | May-June - 2018
Date of Publication Print ISSN Online ISSN
2018-05-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
69-75 IJSRSET184814   Technoscience Academy

Cite This Article

Tasnim Azad Abir, Jinat Ara Siraji, Eftekhar Ahmed, "Analysis of a novel MRI Based Brain Tumour Classification Using Probabilistic Neural Network (PNN)", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.69-75, May-June-2018.
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