Automated Brain Tumor Diagnosis and Severity Analysis from Brain MRI

  • Sabyasachi Mukherjee
  • Oishila BandyopadhyayEmail author
  • Arindam Biswas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10149)


Analysis of brain MRI is of utmost importance as it reveals the underlying details of the main controlling portion of human body. In this paper, we have proposed a fully automated approach to differentiate abnormal brain images from healthy MRI. The proposed method segments out the tumor region from the abnormal MRI by analyzing the energy profile of the image pixels. After tumor segmentation, the tumor features are analyzed to classify the degree of malignancy. This approach can be applied to segment both high grade and low grade tumors.


Brain MRI Tumor Edema Dead cell Image energy 



Authors would like to acknowledge Department of Science & Technology, Government of India, for financial support vide ref. no. SR/WOS-A/ET-1022/2014 under Woman Scientist Scheme to carry out this work.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Sabyasachi Mukherjee
    • 1
  • Oishila Bandyopadhyay
    • 2
    Email author
  • Arindam Biswas
    • 1
  1. 1.Department of Information TechnologyIndian Institute of Engineering Science and TechnologyHowrahIndia
  2. 2.Advanced Computing and Microelectronics Unit, Indian Statistical InstituteKolkataIndia

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