Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions

Submission Deadline: 10 December 2017

IEEE Access invites manuscript submissions in the area of Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions.

Medical image analysis is one of the challenging tasks in current scenario. Image analysis is one of the higher level processing techniques in the hierarchy of imaging applications. Image analysis includes concepts such as image cognition, classification, segmentation, etc. The situation is extremely complex since each concept is interlinked with other concepts. Soft computing techniques are one of the widely used computational approaches in complex situations such as medical image analysis. However, there are many hidden issues associated with these soft computing approaches for solving the real-time problems in medical image analysis. The problems are in the form of computational complexity, classification efficiency, practical feasibility, etc. This Special Section in IEEE Access specifically focuses on providing solutions to the existing problems in soft computing techniques for medical image analysis. This Special Section is multi-disciplinary and welcomes researchers from the areas of “artificial intelligence” and “image processing” who can develop innovative systems for solving the problems in medical imaging applications. Any topics related with soft computing and medical image processing are welcome to submitting their articles to this Special Section.

The topics of interest include, but are not limited to:

A) Methodologies:

  • Artificial Neural Networks
  • Fuzzy logic theory
  • Evolutionary Computation
  • Deep learning
  • Rough sets/Chaotic systems
  • Artificial Life
  • Artificial Immune Systems
  • Optimization techniques
  • Any other soft computing technique

B) Applications:

  • Medical image registration/fusion
  • Noise removal in medical images
  • Bio-mechanical data analysis
  • Medical image classification/segmentation
  • Medical image compression
  • Data analysis for biomedical instrumentation
  • Data mining in medical scenario
  • Telemedicine
  • Medical informatics
  • Any other medical image/industry applications

Manuscripts are expected to cover at least one topic from A and one topic from B

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: D. Jude Hemanth, Karunya University, India

Guest Editors:

  1. Lipo Wang, Nanyang Technological University, Singapore
  2. João Manuel R. S. Tavares, Faculdade de Engenharia da Universidade do Porto, Portugal
  3. Fuqian Shi, College of Information and Engineering, Wenzhou Medical University, China
  4. Vania Viera Estrela, Universidade Federal Fluminense, Brazil

 

Relevant IEEE Access Special Sections:

  1. Health Informatics for the Developing World
  2. Intelligent Systems for the Internet of Things
  3. Advanced Data Analytics for Large-Scale Complex Data Environments

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: judehemanth@karunya.edu