[visionlist] Computerized Medical Imaging and Graphics Special Issue on Whole Slide Microscopic Image Processing

Olivier Lezoray olivier.lezoray at unicaen.fr
Sun Jan 31 14:56:41 GMT 2010


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Computerized Medical Imaging and Graphics
Special Issue on Whole Slide Microscopic Image Processing
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http://greyc.stlo.unicaen.fr/lezoray/CMIG-CFP/
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				Guest Editors
OLIVIER LÉZORAY (University of Caen, France)
METIN GURCAN (The Ohio State University, USA)
ALI CAN (General Electric Research, USA)
JEAN-CHRISTOPHE OLIVO-MARIN (Institut Pasteur, France)
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Recent advances in technological solutions for automated high-speed  
and high-resolution whole slide imaging (WSI) have set the basis for a
digital revolution in microscopy. This ability to observe and analyze  
entire specimens rather that single microscopic fields of view is
affecting the way microscopic evaluation is practiced. However, WSI  
outputs quite huge multiple channel (at least three color channels)  
images
(e.g. 30-40 GB) for a single slide and managing such amount of data is  
a unique challenge for this new era of digital microscopy. Currently,
WSI workstations are mainly used to perform virtual microscopy, the  
practice of converting entire glass slides into high-resolution digital
slides that can be viewed and managed across networks.
WSI will find a great number of users from pathology to pharmaceutical  
research to basic science and industrial inspection applications.
A WSI system equipped with the right storage and computing  
infrastructure can significantly improve workflow, hence increasing  
the productivity
while reducing the costs, and increase workflow reliability, enable  
automated image analysis, quantification and quality control tools.
For example, in pathology departments, there are great workflow  
inefficiencies that result from the necessary physical connection  
between
glass slides and the highly paid labor required to read them. In the  
current workflow, slides are occasionally lost in the mail, when an
additional opinion is needed from a specialized pathologist. An  
all-digital pathological environment should help overcome workflow  
inefficiency,
and increase workflow reliability. Additionally, such an environment  
will enable easy access to worldwide expertise even from remote  
locations.
WSI complimented with automated image analysis and quantitation tools  
will significantly improve the quality of the workflow as well. If WSI
can be shown to be sufficient for pathologists to make reliable  
diagnosis decisions and compose complex diagnosis reports, WSI image  
analysis
tools have yet to prove such abilities by validation studies in order  
to move from virtual microscopy to full quantitative analysis. Storage
and computing infrastructure will also be needed, because in one year,  
a laboratory can produce about 30000 cases, which requires up to 30
Terabytes of massive archiving system in today's standards.
The aim of the proposed special issue is to present some of the  
cutting-edge works currently being done in Whole Slide Imaging and  
reveal
the challenges that still lie ahead. The special issue will be a mix  
of invited and solicited papers. A perspective editorial written by
the special issue guest editors will introduce the technology;  
describe potential applications and pitfalls. Invited papers are  
intended
to provide reviews both from the medical and the image processing sides.
The invited papers will be contributed by (the authors have given  
their approval):
	Christel Daniel (MD, PhD), Université Paris Descartes and Hôpital  
Européen Georges-Pompidou, Paris, France
		"Standardizing the use of whole slide images in collaborative  
digital anatomic pathology"
	Michael D. Feldman (MD, PhD), University of Pennsylvania, USA:
		"WSI Medical Challenges"
	Anant Madabhushi (PhD), Rutgers The State University of New Jersey, USA:
		"Computer-aided Prognosis: Towards Quantitative Personalized Medicine"
	Thomas J. Fuchs, Joachim M. Buhmann (PhD), Swiss Federal Institute of  
Technology Zurich, Switzerland:
		"Computational pathology: Statistical learning for cancer diagnosis"
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				Topics
Original papers are solicited addressing, but not limited to, one or  
more of the following topics:
Devices and Probes
Image enhancement, calibration
Image segmentation
Image registration
Computer-Aided Detection, Diagnosis, Grading and Prognosis
Automated Defect Recognition
Content-based image retrieval
Case studies
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				Submissions
Manuscripts should conform to the standard guidelines of CMIG.
Prospective authors should submit an electronic copy of their  
manuscript through the CMIG online submission system at  
http://ees.elsevier.com/cmig.
Papers should be marked as "Special Issue: Whole Slide Microscopic  
Image Processing " in the Article Type section and
" Whole Slide Microscopic Image Processing " special issue should be  
mentioned in the cover letter.
Each paper will be reviewed by at least two independent reviewers.
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				Important Dates
Submission of invited and solicited manuscripts: June 1, 2010
Acceptance/rejection notification: September 1, 2010
Revised manuscripts due: December 1, 2010
Publication of Special Issue: 2011

-- 
Olivier LÉZORAY                    | Full Professor in Computer Science
olivier.lezoray at unicaen.fr         | http://www.info.unicaen.fr/~lezoray
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