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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-17
11:00
Online Online Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] MI2020-91
pp.186-190
IMQ 2020-10-02
15:20
Online Online Development of software simulator for display design of 3D volumetric display
Du Leran (Chiba Univ.), Ryutaro Okamoto (Teidec), Shinsuke Akita, Yuichiro Yoshimura, Toshiya Nakaguchi (Chiba Univ.) IMQ2020-6
Intuitive understanding of the human body structure in three dimensions is important for diagnosis, treatment, informed ... [more] IMQ2020-6
pp.9-12
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
16:30
Hokkaido Hokkaido Univ. A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more]
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-07
12:30
Hiroshima Satellite Campus Hiroshima [Keynote Address] AI in medical imaging diagnosis
Hiroshi Fujita (Gifu Univ.) VLD2018-68 CPM2018-93 ICD2018-54 IE2018-72 CPSY2018-39 DC2018-54 RECONF2018-45
It is entering the third artificial intelligence (AI) boom. In particular, with the advent of "deep learning" technology... [more] VLD2018-68 CPM2018-93 ICD2018-54 IE2018-72 CPSY2018-39 DC2018-54 RECONF2018-45
p.201(VLD), p.27(CPM), p.27(ICD), p.27(IE), p.31(CPSY), p.201(DC), p.61(RECONF)
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
15:00
Hokkaido Hokkaido Univ. A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information
Norifumi Kawabata, Toshiya Nakaguchi (Chiba Univ.) ITS2017-74 IE2017-106
The coded defect and degradation in the medial imaging field is each differenced for characteristics, nature, and status... [more] ITS2017-74 IE2017-106
pp.77-82
SIP 2016-08-25
15:30
Chiba Chiba Institute of Technology, Tsudanuma Campus [Invited Talk] Applications of Deep learning for image diagnosis
Hayaru Shouno (UEC) SIP2016-76
The ``deep learning'' is the 3rd generation neural network technology, which is exhibiting its characteristics in the bi... [more] SIP2016-76
pp.23-24
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Semi-automatic region detection of maxillary sinus on dental panoramic radiograph
Yuma Miki, Takeshi Hara, Chisako Muramatsu (Gifu Univ.), Tatsuro Hayashi (Media), Akitoshi Katsumata (Asahi Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2014-77
Recently, a diagnosis using a dental panoramic radiograph is frequently performed. We previously developed a method to d... [more] MI2014-77
pp.111-114
IE, ITE-AIT, ITE-ME [detail] 2014-11-07
10:00
Kagoshima   A study on improvement of microcalcification attenuation in medical image denoising using NL-means
Tsuyoshi Yamashita (Kanazawa Univ.), Mamoru Ogaki (EIZO Co.), Marina Katou, Kousuke Imamura, Yoshio Matsuda, Shigeru Sanada (Kanazawa Univ.) IE2014-57
Image processing technology in medical field is attracting attention as a solution to realize improvement of diagnosis a... [more] IE2014-57
pp.45-50
MI 2014-06-24
14:15
Fukuoka Lecture Hall, Building B of Basic Sciences, Kyushu University [Special Talk] [Special Talk] Introduction of Development of Korean Biopsy Robot
Joon Beom Seo, Namkug Kim, Jaesoon Choi (AMC, Univ. of Ulsan) MI2014-33
Needle insertion or puncturing is one of most common procedures for both diagnosis and treatment of various diseases in ... [more] MI2014-33
pp.59-61
IBISML 2013-07-18
15:40
Tokyo Nishiwaseda Campus (Waseda univ.) Computer aided image diagnosis system using artificial intelligence for X-ray CT image
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) IBISML2013-11
A computer aided image diagnosis system using artificial intelligence for X-ray CT image is developed. In this system, a... [more] IBISML2013-11
pp.75-80
MI 2013-07-19
10:00
Miyagi   A Study of a High-Accuracy Ultrasound Contrast Agent Detection Method for Diagnostic Ultrasound Imaging Systems
Koichi Ito, Kazumasa Noro, Yukari Yanagisawa, Maya Sakamoto, Shiro Mori (Tohoku Univ.), Kiyoto Shiga (Iwate Medical Univ.), Tetsuya Kodama, Takafumi Aoki (Tohoku Univ.) MI2013-31
This paper presents a high-accuracy microbubble detection method for diagnostic ultrasound imaging systems. The conventi... [more] MI2013-31
pp.61-65
IE 2013-04-26
16:15
Tokyo Chuo Univ. Multi-layered GMDH-type neural network using Predicton Sum of Square (PSS) and its application to medical image diagnosis of liver cancer
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) IE2013-7
(To be available after the conference date) [more] IE2013-7
pp.35-40
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-02
11:00
Tokyo   Medical image diagnosis of liver cancer by revised GMDH-type neural network self-organizing neural network architectures using heuristic self-organization
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) PRMU2012-32 IBISML2012-15
In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-organizing neural network archit... [more] PRMU2012-32 IBISML2012-15
pp.17-22
IE 2012-04-27
09:00
Tokyo Seikei University Medical image diagnosis of lung cancer by revised GMDH-type neural network self-organizing multi-layered artificial neural network architecture
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) IE2012-1
In this study, a revised GMDH-type neural network algorithm self-organizing multi-layered artificial neural network arch... [more] IE2012-1
pp.1-6
KBSE 2012-01-23
10:30
Tokyo Kikai-Shinko-Kaikan Bldg. Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using artificial intelligence
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2011-53
A multi-layered Group Method of Data Handling (GMDH)-type neural network algorithm using artificial intelligence is prop... [more] KBSE2011-53
pp.1-6
KBSE 2012-01-23
11:10
Tokyo Kikai-Shinko-Kaikan Bldg. Medical image diagnosis of lung cancer by feedback GMDH-type neural network self-selecting optimum neuron architectuere
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2011-54
In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neuron archite... [more] KBSE2011-54
pp.7-12
MI 2012-01-20
11:25
Okinawa   Reserch on Over-detected Region Restriction by Combining SVM and CT Slice Relevance for Automatic Lacunar Infraction Detection
Kazuki Gatayama, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.), Masakazu Miyanohara (Kyo-machi Internal Diseases Cranial Clinic) MI2011-144
Although the diagnosis of cerebral infraction is important, it mainly depends on doctor’s medical knowledge and experien... [more] MI2011-144
pp.371-376
MI 2012-01-20
14:05
Okinawa   [Fellow Memorial Lecture] My medical image-engineering research for improving image diagnosis
Hiroshi Fujita (Gifu Univ.) MI2011-151
I was honored with the Fellow of IEICE (The Institute of Electronics, Information and Communication Engineers) in Septem... [more] MI2011-151
pp.411-416
MBE 2011-07-08
13:00
Tokushima The University of Tokushima Medical image diagnosis of lung cancer by revised GMDH-type neural network self-organizing neural network architecture
Tadashi Kondo (Tokushima Univ.) MBE2011-20
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network ... [more] MBE2011-20
pp.1-6
MBE 2011-07-08
13:25
Tokushima The University of Tokushima Medical image diagnosis of liver cancer by feedback GMDH-type neural network
Tadashi Kondo (Tokushima Univ.) MBE2011-21
A revised Group Method of Data Handling (GMDH)-type neural network algorithm using artificial intelligence technology fo... [more] MBE2011-21
pp.7-12
 Results 1 - 20 of 44  /  [Next]  
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