CAIMAN: an online algorithm repository for Cancer Image Analysis
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Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping
Published on: December 15, 2023
Constantino Carlos Reyes-Aldasoro1, Michael K Griffiths, Deniz Savas
1Cancer Research UK Tumour Microcirculation Group, Department of Oncology, The University of Sheffield, K Floor, School of Medicine, Dentistry and Health, UK. c.reyes@sheffield.ac.uk
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.
