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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2016-03-25
10:15
Tokyo   Vessel tracking from 3D CT images based on 2D cross-section analysis
Akira Uchida, Toshiyuki Okada, Hotaka Takizawa, Hiroyuki Kudo, Yukio Oshiro, Nobuhiro Okochi (Univ. of Tsukuba) BioX2015-59 PRMU2015-182
This paper proposes a segmentation method of complex vascular structures based on three-dimensional vessel tracking and ... [more] BioX2015-59 PRMU2015-182
pp.99-104
MI 2015-03-03
16:24
Okinawa Hotel Miyahira Development of blood vessel segmentation method from contrasted CT volumes using iterative segmentation approach
Masahiro Oda, Mitsuru Kagajo, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori (Nagoya Univ.) MI2014-116
We propose a blood vessel extraction method from CT volumes. Organ extraction from medical images are an essential proce... [more] MI2014-116
pp.311-316
MI 2013-01-25
10:20
Okinawa Bunka Tenbusu Kan Extraction of Vascular Structures for Patient-Specified Surgical Simulations
Tsukasa Shindo, Tomoko Tateyama, Amir H Foruzan, Kosuke Miyawaki, Guifang Duan (Ritsumei Univ.), Liu Zhenyu (Zhejiang Univ.), Takumi Tsuda, Kousuke Matsui, Masaki Kaibori, Masanori Kon (Kansai Medical Univ.), Yen-Wei Chen (Ritsumei Univ.) MI2012-97
It is important to understand liver shape and its vessel structure before hepatic surgery. In this paper, we proposed a ... [more] MI2012-97
pp.185-190
US 2012-12-18
14:35
Kanagawa Suzukakedai Campus, Tokyo Institute of Technology Proposal of navigation technique using three-dimensional ultrasonic image for liver RFA
Satoki Zenbutsu, Tadashi Yamaguchi (Chiba Univ.) US2012-83
Liver puncture is less invasive operation. This operation technique is performed using ultrasound guiding navigation sys... [more] US2012-83
pp.17-21
MI 2012-10-29
15:15
Yamaguchi Yamaguchi Univ. A study of extraction of vascular structures from gray scale image of the ear of the rabbit
Yuki Oshiumi, Katsuya Nagayama (kyutech) MI2012-60
We’ve been working on the coupled analysis on tumor growth and angiogenesis. By angiogenesis algorithm to construct, we ... [more] MI2012-60
pp.65-66
MI 2011-01-20
09:45
Okinawa Naha-Bunka-Tembusu Automated classification of cerebral arteries in MRA images using visible human Korea image -- Performance evaluation using large image database --
Tatsunori Asano (Gifu Univ), Yoshikazu Uchiyama (Oita NCT), Ryujiro Yokoyama, Takeshi Hara, Toru Iwama, Hiroaki Hoshi (Gifu Univ), Min Suk Chung (Ajou Univ), Hiroshi Fujita (Gifu Univ) MI2010-87
Magnetic resonance angiography is used for the early detection of unruptured aneurysm, stenosis, and occlusion in brain ... [more] MI2010-87
pp.35-39
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu Automated Vessel Extraction in High-Resolution Retinal Images
Masaru Kurota, Toshiya Nakaguchi, Norimichi Tsumura, Ichiro Shimoyama (Chiba Univ.) MI2010-94
Funduscopy is widely examined for early diagnosis of arteriosclerosis because it can examines vessels directly. However,... [more] MI2010-94
pp.73-76
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu [Poster Presentation] Extraction of Blood Vessels in Retinal Fundus Images using Morphology Filter Bank
Altansargai Buyandalai, Yoshikazu Uchiyama (Oita NCT), Yuji Hatanaka (Univ. of Shiga Pre.), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ) MI2010-101
Blood vessel extraction is one important component technology of computer-aided diagnosis for retinal fundus images. Thi... [more] MI2010-101
pp.105-108
MI 2010-09-03
16:50
Saitama   Construction of statistical atlas in root of hepatic vascular and apply for automatic vessel identification
Motoi Kinishi (Ritsumeikan Univ.), Toshiyuki Okada, Masatoshi Hori (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-64
It is important to classify vessels extracted in range of liver into the portal vein, hepatic vein or hepatic artery. So... [more] MI2010-64
pp.75-80
MBE 2010-07-09
13:25
Okayama Okayama University Extracting blood vessel parameters on image of large intestine endoscope
Ryota Kanno, Shinsuke Konaka (Tokushima Univ), Toshiya Okahisa (Tokushima Univ Hosp), Masatake Akutagawa, Takahiro Emoto (Tokushima Univ) MBE2010-17
The endoscope opinion classification and the biopsy pathology organization opinion classification are used for the diagn... [more] MBE2010-17
pp.7-11
MI 2010-01-29
09:30
Okinawa Naha-Bunka-Tenbusu Blood Vessel Segmentation using Intensity Structures Analysis based on Spherical Harmonic Function
Yukitaka Nimura (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kensaku Mori (Nagoya Univ.) MI2009-120
Blood vessel is one of the important organ in diagnosis, therapy and surgery. For decision of the treatment strategy, gr... [more] MI2009-120
pp.241-246
MBE 2009-07-11
09:00
Tokushima The University of Tokushima One examination of extracting blood vessels on image of large intestine endoscope
Ryota Kanno, Shinsuke Konaka, Toshiya Okahisa, Takahiro Emoto, Masatake Akutagawa (Univ. of Tokushima.) MBE2009-22
Stages of Ulcerative Colitis (UC) are classified in biopsy pathological tissue findings.
In this paper, for the correl... [more]
MBE2009-22
pp.17-20
PRMU, IE, MI 2009-05-29
09:30
Gifu Gifu Univ. Development and performance evaluation of automatic segmentation method of cerebral arteries in MRA image by use of large image database
Tatsunori Asano, Yoshikazu Uchiyama, Ryujiro Yokoyama, Takeshi Hara, Hiroshi Fujita, Toru Iwama, Hiroaki Hoshi (Gifu Univ) IE2009-34 PRMU2009-25 MI2009-25
Computer-aided diagnosis (CAD) schemes for the detection of cerebrovascular diseases such as unruptured aneurysm and ste... [more] IE2009-34 PRMU2009-25 MI2009-25
pp.135-139
MI 2007-11-16
11:25
Ishikawa Kanazawa Univ. High security personal identification system using retinal fundus camera
Keisuke Fukuta, Toshiaki Nakagawa (Gifu Univ.), Yoshinori Hayashi (TAK Co.,Ltd.), Yuji Hatanaka (Gifu National College of Technology), Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2007-53
Recently there are many systems which need identification of person automatically. In this paper, we propose a high secu... [more] MI2007-53
pp.25-28
MI 2007-01-26
09:30
Overseas the Cheju National Univ. Accuracy Improvement of Groin-Lymphoma Detection by means of Blood Vessel Extraction
Tatsuya Watanabe (Yamagata Univ.), Shuhei Nitta, Hidekata Hontani (NIT), Tadanori Fukami, Tetsuya Yuasa, Takao Akatsuka (Yamagata Univ.), Jin Wu, Tohoru Takeda (Tukuba Univ.), Noboru Oriuchi, Keigo Endo (Gunma Univ.), Yorihisa Watanabe (Yamagata Saisei Hosp.)
This paper proposes a method for extracting groin-lymphoma in PET/CT images. In PET/CT images, tumors and the blood vess... [more] MI2006-85
pp.9-12
PRMU, MI 2006-05-26
10:00
Aichi Aichi Prefectural University Development and performance evaluation of an automatic extraction of liver vessels in non-contrast X-ray CT images
Suguru Kawajiri, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.)
In this study, we propose the filter of enhancing vessels to extract liver vessels from 3-D X-ray non-contrast CT images... [more] PRMU2006-25 MI2006-25
pp.31-36
MI 2006-01-28
13:00
Okinawa Miyakojimashi-Chuo-Kouminkan A preliminary study for recognizing the heart structure on contrast-enhanced CT images
Suguru Kawajiri, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi (Gifu Univ.)
It is important for diagnosing diseases by doctor and planning of surgery to
recognize lung vessels from human body an... [more]
MI2005-135
pp.109-112
 Results 1 - 17 of 17  /   
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