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2020 | OriginalPaper | Chapter

Novel Approach for Brain Tumor Detection Based on Naïve Bayes Classification

Authors : Gurkarandesh Kaur, Ashish Oberoi

Published in: Data Management, Analytics and Innovation

Publisher: Springer Singapore

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Abstract

The brain tumor detection is the approach which can detect the tumor portion from the MRI image. To detect tumor from the image various techniques has been proposed in the previous times. The technique which is adapted in research work is based upon morphological scanning, clustering, and Naïve Bayes classification. The morphological scanning will scan the input image and clustering will cluster similar and dissimilar patches from image then Naïve Bayes classifier spot the tumor portion from magnetic resonance imaging. The advance algorithm is implemented in MATLAB and results are analyzed in terms of PSNR, MSE accuracy, and fault detection and also calculate overlapping area with dice coef. The proposed method has been tested on data set with more than 25 slide scanned images. This proposed method achieved accuracy with 86% best cell detection.

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Literature
1.
go back to reference Dhanwani, D.C., Bartere, M.M.: Survey on various techniques of brain tumour detection from MRI images. IJCER 4(1), 24–26 (2014) Dhanwani, D.C., Bartere, M.M.: Survey on various techniques of brain tumour detection from MRI images. IJCER 4(1), 24–26 (2014)
2.
go back to reference Joshi, M.A., Shah, D.H.: Survey of brain tumor detection techniques through MRI images. AIJRFANS 9 (2015) Joshi, M.A., Shah, D.H.: Survey of brain tumor detection techniques through MRI images. AIJRFANS 9 (2015)
3.
go back to reference Poonam, J.P.: Review of image processing techniques for automatic detection of tumor in human brain. IJCSMC 2(11), 117–122 (2013) Poonam, J.P.: Review of image processing techniques for automatic detection of tumor in human brain. IJCSMC 2(11), 117–122 (2013)
4.
go back to reference Kowear, M.K., Yadev, S.: Brain tumor detection and segmentation using histogram thresholding. Int. J. Eng. Adv. Technol. 1, 16–20 (2012) Kowear, M.K., Yadev, S.: Brain tumor detection and segmentation using histogram thresholding. Int. J. Eng. Adv. Technol. 1, 16–20 (2012)
5.
go back to reference Patil, R.C., Bhalchandra, A.S.: Brain tumor extraction from MRI images Using MAT Lab. IJECSCSE 2(1), 1 (2012) Patil, R.C., Bhalchandra, A.S.: Brain tumor extraction from MRI images Using MAT Lab. IJECSCSE 2(1), 1 (2012)
6.
go back to reference Parmeshwarappa, V., Nandish, S.: A segmented morphological approach to detect tumor in brain images. IJARCSSE 4(1), 408–412 (2014) Parmeshwarappa, V., Nandish, S.: A segmented morphological approach to detect tumor in brain images. IJARCSSE 4(1), 408–412 (2014)
7.
go back to reference Karuna, M., Joshi, A.: Automatic detection and severity analysis of brain tumors using GUI in matlab. IJRET Int. J. Res. Eng. Technol. 2(10), 586–594 (2013)CrossRef Karuna, M., Joshi, A.: Automatic detection and severity analysis of brain tumors using GUI in matlab. IJRET Int. J. Res. Eng. Technol. 2(10), 586–594 (2013)CrossRef
8.
go back to reference Kamil, M.Y.: Brain tumor area calculation in CT-scan image using morphological operations. IOSR J. Comput. Eng. (IOSR-JCE) 17(2), 125–128 (2015) Kamil, M.Y.: Brain tumor area calculation in CT-scan image using morphological operations. IOSR J. Comput. Eng. (IOSR-JCE) 17(2), 125–128 (2015)
9.
go back to reference Wan, E.W.: Neural network classification: a Bayesian interpretation. IEEE Trans. Neural Netw. 1(4), 303–305 (1990)MathSciNetCrossRef Wan, E.W.: Neural network classification: a Bayesian interpretation. IEEE Trans. Neural Netw. 1(4), 303–305 (1990)MathSciNetCrossRef
10.
go back to reference Chew, K.M., Yong, C.Y., Sudirman, R., Wei, S.T.C.: Bio-signal processing and 2D representation for brain tumor detection using microwave signal analysis. In: IEEE (2018) Chew, K.M., Yong, C.Y., Sudirman, R., Wei, S.T.C.: Bio-signal processing and 2D representation for brain tumor detection using microwave signal analysis. In: IEEE (2018)
11.
go back to reference Kaur, N., Sharma, M.: Brain tumor detection using self-adaptive K-means clustering. In: IEEE (2018) Kaur, N., Sharma, M.: Brain tumor detection using self-adaptive K-means clustering. In: IEEE (2018)
12.
go back to reference Hazra, A., Dey, A., Gupta, S.K., Ansari, M.A.: Brain tumor detection based on segmentation using MATLAB. In: IEEE (2017) Hazra, A., Dey, A., Gupta, S.K., Ansari, M.A.: Brain tumor detection based on segmentation using MATLAB. In: IEEE (2017)
13.
go back to reference Chauhan, S., More, A., Uikey, R., Malviya, P., Moghe, A.: Brain tumor detection and classification in MRI images using image and data mining. In: IEEE (2017) Chauhan, S., More, A., Uikey, R., Malviya, P., Moghe, A.: Brain tumor detection and classification in MRI images using image and data mining. In: IEEE (2017)
Metadata
Title
Novel Approach for Brain Tumor Detection Based on Naïve Bayes Classification
Authors
Gurkarandesh Kaur
Ashish Oberoi
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9949-8_31