Publication 2019 DECEMBER VOL 1 Issue 1

Automatic Brain Hemorrhage Detection Using Artificial Neural Network

Mohammed Thanveersha N, Shihabudeen A S, Alifkhan A S, JinoJayni ThasniFathima , Avigyan Sinha, Aneesh R P  


Abstract - The motivation behind this study is to detect the brain hemorrhage and to give better treatment. Brain hemorrhage is a type of stroke in artery of the brain causing bursting and bleeding in the surrounded tissue. Brain hemorrhage is mainly diagnosed through CT scan which enables the accurate prediction of disease. This study uses image segmentation of CT scan images by watershed method and feeds the inputs to an artificial neural network for classification and thus investigates the diagnosis of brain hemorrhage more accurately. The output generated can be used to not act as a learning tool for trainee radiologists to minimize error in current methods but to also verify expert diagnosis. The system is successfully tested with the dataset and the experiments give better results with an accuracy of 94.5%..



Medical Image Processing, Neural network, Artificial Neural Network, Watershed, Intelligent Brain Hemorrhage Diagnosis.




      [1] Soumya R S, Neethu S, Niju T S, Renjini A$, Aneesh R. P, ‘‘Advanced Earlier Melanoma DetectionAlgorithm Using ColourCorrelogram’’2016 International Conference onCommunication Systems and Networks (ComNet) | 21-23 July 2016 | Trivandrum
      [2] M. E. Celebi et al., ‘‘Fast and accurate border detection in dermoscopy images using statistical region merging,’’Proc. SPIE, vol. 6512, pp. 65123V-1–65123V-10, Mar.2007.
      [3] M. Silveira et al., ‘‘Comparison of segmentation methods for melanoma diagnosis in dermoscopy images,’’ IEEE J. Sel. Topics Signal Process., vol. 3, no. 1, pp. 3545, Feb. 2009
      [4] K. Ito and K. Xiong, ‘‘Gaussian filters for nonlinear filtering problems,’’ IEEE Trans. Autom. Control, vol. 45, no. 5, pp. 910–927, May 2000
      [5] N. Otsu, ‘‘A threshold selection method from gray-level histograms,’’ Automatica, vol. 11, nos. 285–296, pp. 23–27, 1975.
      [6] R. Adams, ‘‘Radial decomposition of disks and
      spheres,’’ CVGIP, Graph. Models Image Process., vol. 55, no. 5, pp. 325–332, 1993
      [7] C. Traina Jr., A. J. M. Traina, L. Wu, and C.Faloutsos, “Fast feature selection using fractal dimension,” in Brazilian Symposium on Databases (SBBD), João Pessoa, Brazil, 2000, pp. 158–171
      [8]Santosh H. Suryawanshi*, K. T. Jadhao “An Expert Diagnosis of Brain Hemorrhage Using Artificial NeuralNetworks”International Journal of Engineering Sciences & ResearchTechnology(IJESRT) [Suryaewanshi, 4(11): November, 2015].
      [9] UshaniBalasooriya, M.U.S Perera “Intelligent Brain Hemorrhage Diagnosis Using Artificial Neural Networks”2012 IEEE Business, Engineering & Industrial Applications Colloquium (BEIAC)
      [10] A. Khare and M. Saxena and S. Tiwari, “Edge Detection Method for Image Segmentation a Survey of Soft Computing Approaches”, International Journal of Soft Computing and Engineering (IJSCE) ISSN:2231- 2307, Volume-1, Issue-4, 174-178,2011.
      [11] B. Krose and P. van der smagt, “An introduction to Neural Networks”, English Edition, November 1996.
      [12] J. A. Feldman and D. H. Ballard, “Connectionist models and their properties”, Cognitive Science, 6, 205- 254, 1982.
      [13] Matlab. [2009], Matlab Help
      [14] S. Wadhwani, A. Wadhawani and M. Saraswat, “Clasification of Breast Cancer Detection Using Artificial Neural Network”, Current Research in Engineering, Science and Technology(CREST) Journals, ISSN
      2320-706X, Vol 3, Issue 03, pg 85-91, May 2013.
      [15] Wei Ren Tan, CheeSeng Chan,’’A Fusion Approach forEfficient Human Skin Detection’’ieee Transactions On Industrial Informatics, Vol. 8, No. 1, February 2012.
      [16]Bram Platel*, RoelMus, Tessa Welte, NicoKarssemeijer, And Ritse Mann”Automated Characterization ofBreast Lesions Imaged withan Ultrafast Dce-Mr Protocol”Ieee Transactions On Medical Imaging, Vol. 33, No. 2, February 2014 225.


Authors :

Mohammed Thanveersha N, Shihabudeen A S, Alifkhan A S, JinoJayni ThasniFathima

Department of Electronics and Biomedical Engineering, TKM IT , Kollam ,India


Avigyan Sinha

Indian Institute of Techonology , Kharagpur , India

Regional center IHRD, Thiruvananthapuram


Regional center IHRD, Thiruvananthapuram


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