CAIMAN: an online algorithm repository for Cancer Image Analysis

Reyes-Aldasoro, C. C., Griffiths, M. K., Savas, D. & Tozer, G. M. (2010). CAIMAN: an online algorithm repository for Cancer Image Analysis. Computer Methods and Programs in Biomedicine, 103(2), pp. 97-103. doi: 10.1016/j.cmpb.2010.07.007

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Abstract

CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that provides specifically designed algorithms to analyse the images produced by experiments relevant to Cancer Research and Life Sciences, especially vascular biology. CAIMAN is accessed through a user-friendly website where researchers can upload their images and the results are returned by email. CAIMAN does not intend to replace more sophisticated software solutions such as ImageJ, Matlab, or commercial packages, but it will provide a first stop where any researcher can upload images and can obtain quantitative results without having to do any programming at all.

Item Type: Article
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Computer Methods and Programs in Biomedicine . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Methods and Programs in Biomedicine Volume 103, Issue 2, Pages 97–103, August 2011 http://dx.doi.org/10.1016/j.cmpb.2010.07.007.
Uncontrolled Keywords: Algorithms, Databases, Factual, Gene Expression Profiling, Humans, Image Processing, Computer-Assisted, Internet, Neoplasms, Software, User-Computer Interface
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions: School of Engineering & Mathematical Sciences > Engineering
Related URLs:
URI: http://openaccess.city.ac.uk/id/eprint/3739

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