Guest Editors: Khalifa Djemal, Su Ruan and Christine Toumoulin

Technological advances in medical imaging systems have led to an increasing use of images in all phases of the management of the disease, including diagnosis, prognosis and treatment of pathologies. As a consequence, imaging has taken a major place in clinical practice to assist medical expert in the decision-making. The counterpart is, they have to deal with a large amount of data, and face with an increasing complexity of the image contents. The interpretation, mainly based on the observations, is tedious and subject to error (i.e. false positive or negative readings), which renders the procedure, highly dependent on both skill and experience of the clinicians. They express thus a strong demand for detection, quantification and classifi­cation support tools in diagnostic and interventional procedures.

Computer-aided diagnosis (CAD) is a growing research area that aims at meeting these demands. The objective is to speed up the diagnostic process, reduce diagnostic errors, and improve quantitative evaluation.

This special issue aims at presenting a state-of-the-art research in Medical Imaging applied to Computer-Assisted Diagnosis (CAD). Current research in this area is prolific. We thus invite researchers to contribute by presenting novel techniques and methodologies in medical image analysis dedicated to CAD systems. Topics include but are not limited to:

• CAD designs for clinical applications
• Performance evaluation of CAD systems for clinical applications
• Medical and biological imaging
• Multi-dimensional microscopy imaging
• Image processing for biological systems
• Medical images filtering, restoration and segmentation
• Image representation and analysis
• Medical image texture analysis
• Feature extraction and image description
• Medical image quality assessment
• Artificial intelligence and evolutionary based image processing
• Medical image processing using evolutionary algorithms such as GA, PSO, ACO,..
• Classification tools for image-based diagnosis
• Tracking Algorithms in live cell imaging
• Methods in diagnosis optimization
• Medical imaging systems technology
• Medical C.B.I.R systems
• Computer aided diagnosis systems
• Biological Data Visualization

• Full papers due: 30/03/2015

• First round review completed: 30/05/2015

• Revision and second round review completed: 15/07/2015

• Camera ready papers due: 03/08/2015

• Preliminary publication date: 25/08/2015

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

All papers are refereed through a peer review process. A guide for authors is available at the URL page: http://www.elsevier.com/journals/irbm/1959-0318/guide-for-authors.

• Khalifa Djemal, PhD

IBISC Laboratory, University of Evry, France

  khalifa.djemal@ibisc.univ-evry.fr

• Su Ruan, PhD

LITIS Laboratory, University of Rouen, France

  su.ruan@univ-rouen.fr

• Christine Toumoulin, PhD

Associate Editor IRBM, UMR U1099 – LTSI Laboratory, University of Rennes, France

  Christine.toumoulin@univ-rennes1.fr