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 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2014-09-18
13:00		 Hiroshima   [Invited Talk] Architecture Development for the Real-time Computer-Aided Diagnosis of Colorectal Endoscopic Images with NBI Magnification
Tetsushi Koide (Hiroshima Univ.) RECONF2014-17		 With the increase in patients of colorectal cancer in recent years, the requirement of the effective diagnostic support ... [more] RECONF2014-17
pp.1-6
MI 2014-09-02
10:45		 Tokyo The Institute of Statistical Mathematics A Study on Preprocessing for Organ Region Segmentation -- Application of superpixels and of saliency detection --
Yushi Deura, Naoki Kawamura, Mitsunori Yamada, Hidekata Hontani (Nagoya Inst. of Tech.) MI2014-36		 In this study, the authors study preprocessing for segmenting organ
regions in medical images. Many researches of organ... [more]		 MI2014-36
pp.7-11
CPSY 2013-11-08
10:30		 Hiroshima   The Real-time Feature Extraction Architecture for Colorectal Endoscopic Images with NBI Magnification
Tsubasa Mishima, Satoshi Shigemi, Anh-Tuan Hoang, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2013-43		 Increment in number of colorectal cancer patient increases the requirement for a more efficient diagnosis system. In thi... [more] CPSY2013-43
pp.25-30
CPSY 2012-10-12
09:40		 Hiroshima   A Feature Extraction Hardware Design in Computer-Aided Diagnosis System for Colorectal Endoscopic Images with NBI Magnification
Tsubasa Mishima, Satoshi Shigemi, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ) CPSY2012-33		 In this paper, we propose a feature extraction hardware design in computer-aided diagnosis system for colorectal for col... [more] CPSY2012-33
pp.13-18
PRMU, MI, IE 2011-05-19
11:00		 Aichi   A System for Colorectal Endoscopic Images based on NBI Magnification Findings
Junki Yoshimuta, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoshito Takemura, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) IE2011-11 PRMU2011-3 MI2011-3		 Our research objective is to classify magnified endoscopic images of colorectal tumours into 3 types (Type A, B, and C3)... [more] IE2011-11 PRMU2011-3 MI2011-3
pp.13-18
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
17:00		 Fukuoka Fukuoka Univ. Colorectal NBI Image Recognition using Dense SIFT
Junki Yoshimuta, Takahishi Takeda, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoshito Takemura, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) PRMU2010-73 IBISML2010-45		 In this paper we propose a recognition system for classifying NBI images of colorectal tumors into three types (A, B, an... [more] PRMU2010-73 IBISML2010-45
pp.129-134
 Results 1 - 6 of 6  /   
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