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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2022-01-26 13:00 |
Online | Online | Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.)  MI2021-59 |
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] | MI2021-59 pp.59-64 |
| 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 |
| 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] | |
| 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 |
| 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 |
| 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 |
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| 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 |
| 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 |
| MI | 2010-07-09 13:40 |
Tokushima | Tokusima Univ. Kogyo-Kaikan Bldg. | Medical image diagnosis of liver cancer using the revised GMDH-type neural network Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) MI2010-42 |
A revised Group Method of Data Handling (GMDH)-type neural network algorithm for medical image diagnosis is proposed and... [more] | MI2010-42 pp.27-32 |
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