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Special Session
Special Session on Medical Image Analysis and Description for Diagnosis Systems - MIAD 2012


In conjunction with the 5th International Joint Conference on
Biomedical Engineering Systems and Technologies - BIOSTEC 2012

Khalifa Djemal
University of Evry Val d'Essone
The Special Session on Medical Image Analysis and Description for Diagnosis Systems (MIAD) aims to bring together researchers and practitioners working in medical and biomedical images processing domain. The special session will also offer the opportunity to fill the gap between academic researchers, practitioners and industrial parts. MIAD encourages authors to submit papers to one of the main topics indicated below, describing original work, including methods, techniques, advanced prototypes, recent advances in acquisition devices (CT-Scan, MRI, 3D Ultrasound, molecular imaging), applications, diagnosis systems and tools.
Topics of interest include, but are not limited to:
  • Medical and Biological Imaging
  • Multi-dimensional Microscopy Imaging
  • Image Processing for Biological Systems
  • Medical Images Filtering, Restoration and Segmentation
  • Image Representation and Analysis
  • Feature Extraction and Image Description
  • Artificial Intelligence and Evolutionary based Image Processing
  • 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
All accepted papers (full, short and posters) will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index).
All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/). SciTePress is member of CrossRef (http://www.crossref.org/).