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Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice
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SYSNO ASEP 0080156 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice Title Statistická analýza medicínských obrazů a její možný vliv na lékařskou praxi Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Somol, Petr (UTIA-B) RIDSource Title International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare. - Praha : STAPRO, 2007
s. 1-1Number of pages 1 s. Action International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare Event date 07.03.2007-08.03.2007 VEvent location Praha Country CZ - Czech Republic Event type EUR Language eng - English Country CZ - Czech Republic Keywords image segmentation ; mammograpgy ; dermatology ; plastic surgery ; virtual reality Subject RIV BD - Theory of Information R&D Projects 2C06019 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation This paper explains general model-based approaches to two medical image pattern recognition applications. The first application is Bayesian segmentation of breast regions of interest i.e: pectoral muscle, fatty and fibroglandular regions, using Markov Random Fields. This work is a part of a computer aided diagnosis project aiming at evaluating breast cancer risk and its association with texture characteristics of regions of interest on digitized mammograms. Owing to obtained segmentation results, the proposed method could be considered as a satisfying first approach for segmenting regions of interest in a breast. Another dermatology application with the aim to classify skin images of several disorders is briefly discussed. The second part of our contribution will give an overview of the achievements of another project that has been taking place since 2000 in the UK. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2007
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