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Cluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Detection and Classification of Tumors Using Medical Imaging Techniques: A Survey

Authors : Sheetal Garg, S. R. Bhagyashree

Published in: Intelligent Communication Technologies and Virtual Mobile Networks

Publisher: Springer International Publishing

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Abstract

Cancer (tumors) is the cause of every sixth death around the world. This makes cancer a second leading cause of death. Globally 42 million people across the world suffer from cancer and this figure is continuously increasing. In India around 2.5 million people are suffering from different types of cancer. If detected in early stage, then with proper treatment it can be cured. This paper presents details of a few methods used for detection of diseases like Breast cancer, brain tumor, liver cancer, lung cancer and Spine tumor. This paper also speaks about the different machine learning techniques used to classify the diseases into malignant & benign.

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Literature
1.
2.
Ali, I., Wani, W.A., Saleem, K.: Cancer scenario in India with future perspectives. Cancer Ther. 8(8), 56–70 (2011)
3.
Satish Saini, R.V.: Performance analysis of artificial neural network based breast cancer detection system. Int. J. Soft Comput. Eng. 4(4), 70–72 (2014)
4.
Utomo, C.P., Kardiana, A.: Breast cancer diagnosis using artificial neural networks with extreme learning techniques. Int. J. Adv. Res. Artif. Intell. 3(7), 10–14 (2014)
5.
Dheeba, J., Singh, N.A.: Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach. Biomed. Inform. 49, 45–52 (2014)CrossRef
6.
Albayrak, A., Bilgin, G.: Mitosis detection using convolutional neural network based features. In: 2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), pp. 335–340 (2016)
7.
Mukambika, P.S., Uma Rani, K.: Segmentation and classification of MRI brain tumor. Int. Res. J. Eng. Technol. (IRJET) 04(07), 683–688 (2017)
8.
Parveen, A.S.: Detection of brain tumor in MRI images, using combination of fuzzy C-Means and SVM. In: 2nd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 98–102 (2015)
9.
Minz, A., Mahobiya, C.: MR image classification using Adaboost for brain tumor type. In: IEEE 7th International Advance Computing Conference (IACC) (2017)
10.
Singh, G., Ansari, M.A.: Efficient detection of brain tumor from MRIs using K-means segmentation and normalized histogram. IEEE Issue (2016)
11.
Bhagyashree, S.R., Sheshadri, H.S.: An approach in the diagnosis of Alzheimer disease-a survey. Int. J. Eng. Trends Technol. (IJETT) 7(1), 41–43 (2014)CrossRef
12.
Ahmmed, R., Swakshar, A.S., Hossain, M.F., Rafiq, M.A.: Classification of tumors and it stages in brain MRI using support vector machine and artificial neural network. In: International Conference on Electrical, Computer and Communication Engineering (ECCE) (2017)
13.
Harshavardhan, A., Babu, S., Venugopal, T.: Analysis of feature extraction methods for the classification of brain tumor detection. Int. J. Pure Appl. Math. 117(7), 147–155 (2017)
14.
Vijayarani, S., Dhayanand, S.: Liver disease prediction using SVM and Naïve Bayes algorithms. Int. J. Sci. Eng. Technol. Res. (IJSETR) 4(4), 816–820 (2015)
15.
Khobragade, S., Tiwari, A., Patil, C.Y., Narke, V.: Automatic detection of major lung diseases using Chest Radiographs and classification by feed-forward artificial neural network. In: IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (2016)
16.
Vas, M., Dessai, A.: Lung cancer detection system using lung CT image processing. In: International Conference on Computing Sciences (2012)
17.
Alam, J., Alam, S., Hossan, A.: Multi-stage lung cancer detection and prediction using multi-class SVM classifier. In: International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) IEEE Conferences, pp. 1–4 (2018)
18.
Wu, Q., Zhao, W.: Small-cell lung cancer detection using a supervised machine learning algorithm. In: International Symposium on Computer Science and Intelligent Controls (ISCSIC) IEEE Conferences, pp. 88–91 (2017)
19.
Asanambigai, V., Sasikala, J.: ANN based computer aided diagnosis and classification of vertebral column images. ARPN J. Eng. Appl. Sci. 12(5), 1521–1524 (2017)
20.
Kumar, R., Suhas, M.V.: Classification of benign and malignant bone lesions on CT Images using support vector machine: a comparison of kernel functions. In: IEEE International Conference on Recent Trends in Electronics Information Communication Technology, p. 821 (2016)
21.
Huang, S.-F., Chian, K.H.: Automatic detection of bone metastasis in vertebrae by using CT images. In: Proceedings of the World Congress on Engineering 2012, WCE 2012, 4–6 July 2012, vol. II (2012)
22.
Alfonse, M., Salem, A.B.M.: An automatic classification of brain tumors through MRI using support vector machine. Egypt. Comput. Sci. J. 40(03) (2016). ISSN 1110–2586
Metadata
Title
Detection and Classification of Tumors Using Medical Imaging Techniques: A Survey
Authors
Sheetal Garg
S. R. Bhagyashree
Copyright Year
2020
Book
Intelligent Communication Technologies and Virtual Mobile Networks

Print ISBN: 978-3-030-28363-6

Electronic ISBN: 978-3-030-28364-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-28364-3_35