Brain Tumor Prediction Using Deep Learning

Authors

  • Ameena Firdous M.Tech. Student, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India
  • H. A. Girijamma Professor, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India

Keywords:

Brain tumor, Convolution Neural Network, Data augmentation, Deep learning, MRI

Abstract

Cerebrum malignant growth categorization is an essential task undertaking of lookover assess the consideration choice. There are numerous radiology methods used to distinguish mind malignancy. Be that as it may, MRI is normally utilized because of its boss picture standard and reality depending on no disintegration emission. Profound studying (DL) is a subfield of AI and as of late indicated a striking presentation, particularly in categorization and division issues, a profound studying replica dependent on a complexity nervous structure is suggested to characterize distinctive cerebrum cancer kind utilizing two freely accessible data collection. The previous one characterizes cancers into (meninges, glial cells, and endocrine cancer). suggested arrange structure accomplishes a huge presentation with the best by and large exactness of 96.13% and 98.7%, separately, for the two examinations. The outcomes demonstrate the capacity of the replica for cerebrum tumor multi-categorization purposes.

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Published

21-08-2020

How to Cite

[1]
A. Firdous and H. A. Girijamma, “Brain Tumor Prediction Using Deep Learning”, IJRESM, vol. 3, no. 8, pp. 343–346, Aug. 2020.

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Articles