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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-30
13:25		 Okinawa OKINAWAKEN SEINENKAIKAN 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113		 The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] MI2019-113
pp.203-205
MI 2014-01-27
13:30		 Okinawa Bunka Tenbusu Kan Study of Identification of the Breathing Phase of the X-ray Fluoroscopy and the 3D-CT Image by the Mutual Information
Kyohei Uemura (OPUCT), Yuki Miyabe (KUHP), Masamitsu Moriyama (Kinki Univ), Masanari Kubota (OPUCT) MI2013-99		 A purpose of this study is to synchronize with the breathing phase of 3D-CT image and the X-ray fluoroscopic image for t... [more] MI2013-99
pp.233-238
IMQ 2012-11-23
14:15		 Chiba Chiba University Quantitative Assessment of Artery Contours in Cerebral 3D-CT Angiography
Yukihiro Enchi (Osaka Univ. Hosp.), Kuniharu Imai, Ikuko Takase, Chiyo Kawaura, Mitsuru Ikeda (Nagoya Univ.), Masaki Mori (Nagoya Univ. Hosp.) IMQ2012-24		 Currently, 3-dimensional computed tomographic angiography (3D-CTA) is an essential tool for detection of cerebral aneury... [more] IMQ2012-24
pp.11-16
MI 2009-01-19
13:30		 Overseas National Taiwan University [Poster Presentation] Pancreas segmentation from three dimensional contrast enhanced CT images based on a patient specific atlas
Tatsuya Kimoto, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2008-98		 In this paper, we propose a patient specific atlas for pancreas segmentation from three dimensional contrast enhanced CT... [more] MI2008-98
pp.181-186
 Results 1 - 4 of 4  /   
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