Annonce
Special Issue on Medical Image Analysis for Computer Aided Diagnosis
22 Janvier 2015
Catégorie : Revues
Special Issue on Medical Image Analysis for Computer Aided Diagnosis
Khalifa Djemal, Su Ruan, Christine Toumoulin, Guest Editors
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
Key Date for the Special Issue
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
Notes for authors
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
Guest Editors
- 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