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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2009-01-20
Overseas National Taiwan University Plug-ins for PLUTO to identify inflammatory nodules in chest CT images
Yasushi Hirano (Nagoya Univ.), Nobuhiko Seki, Kenji Eguchi (Teikyo Univ.) MI2008-110
In this paper, we introduce an implementation of plug-ins on PLUTO. These plug-ins discriminate inflammatory nodules fr... [more] MI2008-110
MI 2008-07-16
Hokkaido Sapporo Medical University GUI for identifying inflammatory nodules from lung nodules in chest X-ray CT images
Yasushi Hirano (Nagoya Univ.), Nobuhiko Seki, Kenji Eguchi (Teikyo Univ.)
IE, CQ, LOIS, ITE-ME, IEE-CMN 2006-09-15
Ehime   [Invited Talk] Latest Trends on Thin Client in Multimedia Network Environments
Nobuhiko Seki (Qubitstar Systems) CQ2006-50 OIS2006-37 IE2006-52
 [more] CQ2006-50 OIS2006-37 IE2006-52
MI 2005-01-22
Okinawa Univ. of the Ryukus Development of feature for recognizing inflammatory nodules from chest CT images using nodule shape and connecting point of blood vessel
Yosuke Morita, Yasushi Hirano, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Junichiro Toriwaki (Chukyo Univ.), Nobuhiko Seki, Kenji Eguchi (Tokai Univ.)
In this paper, we propose a new method for recognizing inflammatory nodules from thin slice chest CT images. It is known... [more] MI2004-100
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