@inproceedings{0d502a2b587b4ec5b1010d43b48efbd2,
title = "Dynamic contrast enhanced magnetic resonance imaging parameter based computer assisted diagnostic tool using three random variable co-occurrence approach",
abstract = "In this research we describe an implementation of the joint statistical co-occurrence analysis of 3 types of dynamic contrast enhanced magnetic resonance (DCE-MR) images of breast tissue for detection of tumors. The method was implemented in distributed and parallel environments to decrease the long execution time caused by the huge size of data. This method is the first known implementation of the joint statistical co-occurrence analysis on 3 types of pharmacokinetic data and also the first implementation of multi-image co-occurrence analysis for medical applications.",
keywords = "Three Variable Co-occurrence Analysis DCE-MRI",
author = "Kale, \{Mehmet C.\} and Heverhagen, \{Johannes T.\} and Clymer, \{Bradley D.\} and Knopp, \{Michael V.\}",
year = "2005",
month = dec,
day = "1",
language = "English",
isbn = "0889865183",
series = "Proceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005",
pages = "110--115",
editor = "M.W. Marcellin",
booktitle = "Proceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005",
note = "Seventh IASTED International Conference on Signal and Image Processing, SIP 2005 ; Conference date: 15-08-2005 Through 17-08-2005",
}