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 u...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2011-08, Vol.103 (2), p.97-103
Hauptverfasser:	Reyes-Aldasoro, Constantino Carlos, Griffiths, Michael K, Savas, Deniz, Tozer, Gillian M
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological and medical sciences Databases, Factual Distributed processing Gene Expression Profiling - methods Humans Image Processing, Computer-Assisted Imaging in cancer research Internal Medicine Internet Medical sciences Neoplasms - pathology Online image analysis Other Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Software Technology. Biomaterials. Equipments. Material. Instrumentation User-Computer Interface
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Zusammenfassung:	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.
ISSN:	0169-2607 1872-7565
DOI:	10.1016/j.cmpb.2010.07.007