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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2016-03-25
09:45
Tokyo   A preliminary study on interactive segmentation of pancreases from abdominal CT by use of Graph Cut with Homography transformed probabilistic atlases
Takenobu Suzuki, Hotaka Takizawa, Hiroyuki Kudou, Toshiyuki Okada (Univ. Tsukuba) BioX2015-58 PRMU2015-181
This paper proposes a method of interactive segmentation of pancreases from abdominal CT images based on the anatomical ... [more] BioX2015-58 PRMU2015-181
pp.93-97
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-23
14:25
Nara   Basic study on interactive segmentation of pancreases from abdominal CT images by use of the Graph cut technique with probabilistic atlases
Takenobu Suzuki, Hotaka Takizawa, Hiroyuki Kudo, Toshiyuki Okada (Tsukuba Univ.) PRMU2014-106 MVE2014-68
This paper proposes a method of interactive segmentation of pancreases in abdominal CT images based on the anatomical kn... [more] PRMU2014-106 MVE2014-68
pp.239-244
MI 2014-09-02
10:15
Tokyo The Institute of Statistical Mathematics Proposal of an algorithm for simultaneous optimization of segmentation and a shape prior and its application to pancreas segmentation
Atsushi Saito (TUAT), Shigeru Nawano (IUHW), Akinobu Shimizu (TUAT) MI2014-35
A statistical shape model (SSM) plays an important role to provide a shape prior for organ segmentation, such as graph c... [more] MI2014-35
pp.1-5
MI 2013-11-07
15:50
Hiroshima   Improvement of pancreas segmentation algorithm from multi-phase CT volumes
Hidefumi Watanabe, Akinobu Shimizu (Tokyo Univ. of Agriculture and Tech.), Shigeru Nawano (International Univ. of Health and Welfare) MI2013-54
This paper proposes a method for improving a conditional probabilistic atlas(PA) with a condition of rough segmentation ... [more] MI2013-54
pp.45-50
MI 2009-07-15
16:40
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Advanced Pancreas Segmentation from Three Dimensional Contrast Enhanced CT Images by Ensemble Learning
Hiroaki Ochiai, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-52
This paper presents an ensemble segmentation to improve performance of pancreas segmentation from three dimensional cont... [more] MI2009-52
pp.69-74
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
MI 2008-01-25
13:00
Okinawa Naha-Bunka-Tenbusu Two-step Segmentation for Pancreas Extraction from Three Dimensional CT images
Tatsuya Kimoto, Daisuke Furukawa, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (International University of Health and Welfare), Kenji Shinozaki (NKCC) MI2007-87
We have developed the segmentation method for multiple organs including pancreas from three dimensional abdominal CT ima... [more] MI2007-87
pp.115-122
PRMU, MI 2006-05-26
11:10
Aichi Aichi Prefectural University Segmentation of Pancreas from CT Images Using Multiple Level Sets for Preoperative Simulation System
Toshiya Nakaguchi, Masahiro Okui, Norimichi Tsumura (Chiba Univ.), Ken Museth (Linkoping Univ.), Yoichi Miyake (Chiba Univ.)
In laparoscopic surgery operator decides the insertion positions of a laparoscope and forceps by their experience and di... [more] PRMU2006-30 MI2006-30
pp.61-66
 Results 1 - 8 of 8  /   
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