Detecting and Extracting Brain Hemorrhages from CT Images Using Generative Convolutional Imaging Scheme.

Journal: Computational intelligence and neuroscience
Published Date: May 6, 2022

Abstract

PURPOSE: The need for computerized medical assistance for accurate detection of brain hemorrhage from Computer Tomography (CT) images is more mandatory than conventional clinical tests. Recent technologies and advanced computerized algorithms follow Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) techniques to improve medical diagnosis platforms. This technology is making the diagnosis practice of brain issues easier for medical practitioners to analyze and identify diseases with an assured degree of precision and performance.

Authors

  • V Pandimurugan
    School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India.
  • S Rajasoundaran
    School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India.
  • Sidheswar Routray
    Department of Computer Science and Engineering, School of Engineering, Indrashil University, Rajpur, Mehsana, Gujarat, India.
  • A V Prabu
    Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.
  • Hashem Alyami
    Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
  • Abdullah Alharbi
    Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia.
  • Sultan Ahmad
    Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.

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