A Bibliometric Review: Brain Tumor Magnetic Resonance Imagings Using Different Convolutional Neural Network Architectures.

Journal: World neurosurgery
Published Date: Nov 25, 2022

Abstract

BACKGROUND: Numerous scientists and researchers have been developing advanced procedures and methods for diagnosing the kind and phase of a human tumor. Brain tumors, which are neoplastic and abnormal developments of brain cells, are one of the most prominent causes of death. Brain tumors, also known as lesions or neoplasia, may be roughly classified as either primary or metastatic. Primary brain tumors arise from brain tissue and its surrounding environment. The recognition of brain tumors using magnetic resonance images via a deep learning technique such as convolutional neural network (CNN) has garnered significant academic interest over the last few decades.

Authors

  • Arati Rath
    School of Computer Engineering, KIIT Deemed to be University, Odisha, India. Electronic address: a4arati@gmail.com.
  • Dipak Kumar Mohanty
    Government B.Ed. Training College, Kalinga, Kandhamal, Odisha, India.
  • Bhabani Shankar Prasad Mishra
    School of Computer Engineering, KIIT Deemed to be University, Odisha, India.
  • Dilip Kumar Bagal
    Department of Mechanical Engineering, GCE, Kalahandi, Odisha, India.

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