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Eigenspace Template Matching for Detection of Lacunar Infarcts on MR Images

✍ Scribed by Uchiyama, Yoshikazu; Abe, Akiko; Muramatsu, Chisako; Hara, Takeshi; Shiraishi, Junji; Fujita, Hiroshi


Book ID
124162285
Publisher
Springer-Verlag
Year
2014
Tongue
English
Weight
605 KB
Volume
28
Category
Article
ISSN
0897-1889

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The purpose of this study is to develop a technique for computer-aided diagnosis (CAD) systems to detect lung nodules in helical X-ray pulmonary computed tomography CT) images. We propose a novel template-matching technique based on a genetic algorithm (GA) template matching (GATM) for detecting nod