The human carcinogenicity evaluation of chemicals has a great impact on public health. In vitro methods, such as the cell transformation assay (CTA), allow for a fast and reliable assessment of the carcinogenic potential of a chemical compound in comparison with the standard two-year bioassay. Here, we propose a statistical approach to classify mixed and intermediate foci by exploiting the quantitative information available from images through statistical descriptors.
An integrated approach to human carcinogenicity testing based on image analysis and automatic classification of foci / C.Urani; GF.Crosta; C.Procaccianti; P.Melchioretto;F.M.Stefanini. - STAMPA. - SPIE Biomedical Spectroscopy, Microscopy, and Imaging- Imaging Manipulation, and Analysis of Biomolecules, Cells and Tissues VIII:(2010), pp. 115-119. (Intervento presentato al convegno Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues - SPIE tenutosi a San Francisco, USA nel 23-28 January 2010).
An integrated approach to human carcinogenicity testing based on image analysis and automatic classification of foci.
STEFANINI, FEDERICO MATTIA
2010
Abstract
The human carcinogenicity evaluation of chemicals has a great impact on public health. In vitro methods, such as the cell transformation assay (CTA), allow for a fast and reliable assessment of the carcinogenic potential of a chemical compound in comparison with the standard two-year bioassay. Here, we propose a statistical approach to classify mixed and intermediate foci by exploiting the quantitative information available from images through statistical descriptors.
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