Biomedical Statistics and Informatics

Special Issue

Big Data and Artificial Intelligence with Application in Biomedical Image Analysis

  • Submission Deadline: May 20, 2020
  • Status: Submission Closed
  • Lead Guest Editor: Aurelle Tchagna Kouanou
About This Special Issue
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 ā€œ5Vā€: 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
Lead Guest Editor
  • Aurelle Tchagna Kouanou

    Department of Physic, University of Dschang, Dschang, Cameroon

Guest Editors
  • Samir Ghouali

    Faculty of Sciences and Technology, Mustapha Stambouli University, Mascara, Algeria