October 2013
Intermediate to advanced
492 pages
21h 54m
English
Content preview from Computational Vision and Medical Image Processing IV
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Computational Vision and Medical Image Processing IV – João Tavares & Natal Jorge (eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00081-0
SVM based pattern recognition of microscopic liver images
Silvia Canale, Laura D’Orsi & Daniela Iacoviello
Department of Computer, Control and Management Engineering Antonio Ruberti,
Sapienza University of Rome, Italy
ABSTRACT: In this paper microscopic liver images are considered. The aim is to provide an automatic
classification of the liver tissue in order to identify abnormal regions so that these regions may be deeper
investigated by the experts. The classification procedure we introduce in this paper consists of three dis-
tinct steps. The image is first segmented with respect to texture properties ...
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