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Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice

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)_RID
Source Title	International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare. - Praha : STAPRO, 2007 s. 1-1
Number 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

Number of the records: 1