Special Session on Medical Image Analytics


With the help of technology, mankind has the amazing ability to process vast amounts of data and information to assist in the decision-making process. With new disruptive technology, trillions of sources of medical data have flooded into cloud computing and therefore require analytical processes to produce valuable diagnostic information. Images have been collected from a variety of sensors carrying a vast amount of valuable information for the diagnosis processes. Therefore, Medical Image Analytics is a very significant research area to be strengthened in this new current era of Big Data. It will improve the healthcare industry by providing reliable information. Image analysis in general and specifically for medical purposes, has historically been focused on single-channel images. However, the current application requires colour and volume as features to analyse medical images by enhancing the visualization of certain significant signs of diseases. With emerging technologies and the expansion of new equipment in healthcare industries, the sources of medical images become significant research. Medical Analytics is very important to improve the quality of living with artificial intelligent approaches. Therefore, research in this area is growing significantly and involves innovation in various aspects from medical data acquisition, pre-processing, medical image segmentation, medical image analysis, image reasoning for diagnostics, and related application.

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This special session aims to bring together academic researchers, scholars, engineers, industrialists, and other professionals working towards scientific problems to address the aforementioned domains to exchange ideas on recent innovations trends in the research and applications of medical image analytics approaches, technologies, and applications. It is expected that the exchanged ideas on recent research and future directions open the way for collaborative investigations towards discoveries and extensive enhancement of the cutting-edge technologies.

Topics of interest include, but are not limited to:

  • Medical Imaging Modalities
  • Medical Image Pre-processing
  • Medical Image Enhancement
  • Feature Extraction
  • Image Segmentation
  • Medical Image Analysis
  • Image Reasoning and Artificial Intelligent
  • Medical Image Reconstruction and Visualization
  • Medical Computer Vision Application
  • Big Data Analytics in Medical Imaging
  • Medical Image Safety and Security

Paper submission

Special Session Papers should be 12-20 pages in length.

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).


All accepted and presented papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

Important Dates

Submission Deadline: 31 March 10 May 2021
Notification Deadline: 24 May 7 June 2021
Camera-ready Deadline: 21 June 1 July 2021
Conference: 30 July – 1 August 2021

All deadlines refer to the AoE Time Zone.

Special Session Chairs

Dr. Mohd Shafry Mohd Rahim
University Technology Malaysia, Malaysia

Dr. Mohd Najeb bin Jamaludin
University Technology Malaysia, Malaysia

Dr. Tan Chi Wee
Tunku Abdul Rahman University College, Malaysia

Dr. Huma Chaudary
Melbourne Institute of Technology, Australia

Dr. Alireza Norouzi
University of Dundee, United Kingdom

Dr. Tanzila Saba
Prince Sultan University, Riyadh, Saudi Arabia