Segmentation of medical images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115437" target="_blank" >RIV/00216305:26220/15:PU115437 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Segmentation of medical images
Original language description
Segmentation constitutes a significant component of image analysis. As such, the procedure yields an image defining the position and shape of the area of interest, namely the monitored tissue; the shape descriptors can then be utilized in the analysis oftissue properties [1] or further processed. The techniques subsumed within the wide family of segmentation methods are commonly classified according to their principles. In this context, we can first refer to thresholding methods, which are based on analyzing image intensities (simple thresholding; Mumford and Shah [2]). These procedures, although frequently used, nevertheless often fail to ensure proper segmentation of inhomogeneous areas. Another subgroup of techniques comprises methods that exploitedge analysis (edge detectors [3], active contours [4]). In most tissues, the segmentation process is hampered by incomplete edges of the analyzed object; such incompleteness is caused by, for example, bonds between the given tissue and o
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů