CAIMAN: an online algorithm repository for Cancer Image Analysis.

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.

Metadata

Authors/Creators:	Reyes-Aldasoro, C.C. Griffiths, M.K. Savas, D. Tozer, G.M.
Copyright, Publisher and Additional Information:	© 2010 Elsevier Ireland Ltd. This is an author produced version of a paper subsequently published in Computer Methods and Programs in Biomedicine. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords:	Online image analysis; Distributed processing; Imaging in cancer research
Dates:	Accepted: 19 July 2010 Published (online): 5 August 2010 Published: August 2011
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Oncology (Sheffield)
Depositing User:	Symplectic Sheffield
Date Deposited:	14 Nov 2019 14:39
Last Modified:	14 Nov 2019 14:39
Status:	Published
Publisher:	Elsevier
Refereed:	Yes
Identification Number:	https://doi.org/10.1016/j.cmpb.2010.07.007
Related URLs:	PubMed URL

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CAIMAN: an online algorithm repository for Cancer Image Analysis.

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