期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 80, 期 3, 页码 246-270出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2005.09.005
关键词
erythropoietin doping control; quantitative image analysis; geometry-driven diffusion; image segmentation; machine learning classification
A software has been developed that is aimed at quantitative analysis of images acquired by isoelectric focusing and double blotting procedures used for recombinant erythropoietin doping control. It represents a unified and easy-to-use tool. for Epo doping experts in WADA accredited laboratories. It is based on image segmentation philosophy that enables identification of individual bands whose characteristics are needed for evaluation of the Epo doping positivity criteria. Several modules implemented in the GASepo software include an original know how, in particular, the method of robust calculation of the cut-off line, band segmentation and classification algorithms. GASepo is being used in several doping control laboratories worldwide. (c) 2005 Elsevier Ireland Ltd. All rights reserved.
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