Special Issue on Big Data and Artificial Intelligence with Application in Biomedical Image Analysis

Submission Deadline: May 20, 2020

Please click the link to know more about Manuscript Preparation: http://www.bsijournal.org/submission

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Aurelle Tchagna Kouanou
      Department of Physic, University of Dschang, Dschang, Cameroon
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Samir Ghouali
      Faculty of Sciences and Technology, Mustapha Stambouli University, Mascara, Algeria
  • Introduction

    In healthcare field, data volume is increasingly growing each day, and traditional methods cannot manage it efficiently. In biomedical computation, the continuous challenges are: management, analysis, and storage of the biomedical data. Big data is often defined by five major characteristics called the “5V”: volume (amount of data generated), variety (data from different categories) and velocity (speed of data generation), variability (inconsistency of data) and veracity (quality of captured data). Big data in health is concerned with meaningful datasets that are too big, too fast, and too complex for healthcare providers to process and interpret with existing tools and methods. Nowadays, big data technology and artificial intelligence play a significant role in the management, organization, and analysis of data, using machine learning and deep learning techniques. Biomedical images are too important because they allow to visualize the pathologies and cancerogenic cells. Thus, we can use new methods based on machine learning and deep learning to monitor and interpret images. So, it becomes very important to develop methods and/or architectures based on big data technologies and artificial intelligence, for a complete processing of biomedical image data.
    Aims and Scope:
    1. Big Data
    2. Artificial Intelligence
    3. Machine Learning
    4. Biomedical Image Analysis
    5. Deep Learning
    6. Data Analytics

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.bsijournal.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.