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Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing pp 123–131Cite as

Detection of Brain Tumor in MRI Images, Using Fuzzy C-Means Segmented Images and Artificial Neural Network

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Abstract

Brain tumors are the most serious concerns in the field of medicine. In this research paper, ANN and fuzzy c-means clustering are combined together and a model is developed to predict the preoperative prediction of brain tissues. The purpose of this study was to develop a method of the preoperative prediction and classification of brain tumors. A new hybrid model is developed for classification where image segmentation is done using fuzzy c-means clustering algorithm which pinpoints the cancerous area in a brain MRI image. Here, features are extracted from brain MRI images using GLRLM technique. Then artificial neural network is used to classify these images. This enables higher percentage detection and overall provides an excellent classification rate.

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Authors and Affiliations

  1. Department of CSE, Government Women Engineering College, Ajmer, Rajasthan, India

    Parveen &  Amritpal Singh

Authors
  1. Parveen
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  2. Amritpal Singh
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Corresponding author

Correspondence to Parveen .

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Editors and Affiliations

  1. Asian Institute of Technology, Bangkok, Thailand

    Nitin Afzalpulkar

  2. Microwave Tubes Division, Central Electronics Engineering Res Inst, Pilani, Rajasthan, India

    Vishnu Srivastava

  3. Technology, Malaviya National Institute of, Jaipur, India

    Ghanshyam Singh

  4. Department of Physics, University of Rajasthan, Jaipur, India

    Deepak Bhatnagar

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Parveen, Amritpal Singh (2016). Detection of Brain Tumor in MRI Images, Using Fuzzy C-Means Segmented Images and Artificial Neural Network. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_14

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  • DOI: https://doi.org/10.1007/978-81-322-2638-3_14

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2636-9

  • Online ISBN: 978-81-322-2638-3

  • eBook Packages: EngineeringEngineering (R0)

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