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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, IEE-MBE | 2023-06-16 14:10 |
Hokkaido | Hokkaido University (Primary: On-site, Secondary: Online) |
Development of an Extra-corporeal circuit Assembly Support System Using Image Recognition Hisashi Miyazaki (Nippon Bunri Univ.), Takayuki Torigoe, Isao Kayano (Kawasaki Univ. of Medical Welfare)  MBE2023-9 |
In this research, we developed a system that automatically displays an assembly manual for an artificial heart-lung mach... [more] | MBE2023-9 p.3 |
| IBISML | 2022-01-18 11:15 |
Online | Online | [Invited Talk]
TBA Jun Sakuma (Tsukuba Univ./RIKEN) |
Explainability is one of the key elements required in medical image diagnosis using deep image recognition models. In th... [more] | |
| CCS | 2021-11-19 14:30 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
A Study of Deep Learning for Abnormal Waveforms in ECG Image Data Using Expert Diagnosis as a Teacher Kentaro Hashimoto, Yuichiro Yamamura (Univ of Tsukuba.), Ryota Iwatsuka (Taiyo-kai Social Welfare awachiiki iryo center), Hiroyasu Ando (Tohoku Univ./Univ of Tsukuba.) CCS2021-33 |
Artificial intelligence is expected to play a variety of roles in the medical fields. Diagnosis based on ECG readings is... [more] | CCS2021-33 pp.89-93 |
| 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) |
| MI | 2015-07-14 16:20 |
Hokkaido | Sun Refle Hakodate | Advances of Computer vision and progress of medical image recognition and understanding
-- Panel discussion -- Hidekata Hontani (NITech), Yoshitaka Masutani (Hiroshima City Univ.), Yoshinobu Sato (NAIST), Akinobu Shimizu (TUAT), Kensaku Mori (Nagoya Univ.) MI2015-37 |
In this article, the authors discuss a history of computer vision, that of a medical image recognition and nature of med... [more] | MI2015-37 pp.27-32 |
| MI | 2015-03-02 16:12 |
Okinawa | Hotel Miyahira | Imaging position recognition of CT images using deep learning for computational medical image understanding. Fumiyasu Noshiro, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-84 |
In this paper, we describe our method based on deep learning and majority voting for imaging position recognition, which... [more] | MI2014-84 pp.143-146 |
| IA | 2014-11-06 17:30 |
Overseas | Thailand | Development of Interpreting System for Antimicrobial Susceptibility Testing by the Disc Diffusion Technique Chaowarit Ongkum (Chiang Mai Univ.) IA2014-60 |
The purpose of this Development of Interpreting System for Antimicrobial Susceptibility Testing by the Disc Diffusion Te... [more] | IA2014-60 pp.139-141 |
| MI | 2014-01-26 11:10 |
Okinawa | Bunka Tenbusu Kan | [Fellow Memorial Lecture]
Medical image recognition and Image Processing Expert System Junichi Hasegawa (Chukyo Univ.) MI2013-60 |
In this lecture, several researches on image recognition ant its applications to medical and sports fields, performed by... [more] | MI2013-60 pp.25-30 |
| 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 |
| 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 |
| MI | 2009-07-15 15:50 |
Tokyo | AIST Tokyo waterfront annex 11F meeting room #1 | Revised GMDH-type neural network self-organizing optimum neural network architecture and its application to 3-dimensional medical image recognition of heart region Tadashi Kondo, Junji Ueno (Tokushima Univ.) MI2009-50 |
In this study, a revised GMDH-type neural network algorithm self-organizing the optimum neural network architecture is a... [more] | MI2009-50 pp.57-62 |
| MBE | 2009-07-11 09:50 |
Tokushima | The University of Tokushima | Feedback GMDH-type neural network algorithm for medical image analysis and its application to multi-slice CT image analysis of the heart Tadashi Kondo (Univ. of Tokushima.) MBE2009-24 |
A feedback Group Method of Data Handling (GMDH)-type neural network algorithm for medical image analysis is proposed and... [more] | MBE2009-24 pp.27-32 |
| COMP | 2008-05-13 13:20 |
Fukuoka | Kyushu Sangyo University | GMDH-type neural network algorithm self-selecting optimum neural network architecture and its application to medical image recognition Tadashi Kondo (Tokushima Univ.) COMP2008-10 |
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network ... [more] | COMP2008-10 pp.17-24 |
| MBE | 2007-07-20 13:25 |
Tokushima | Three dimensional medical image recognition by revised GMDH-type neural network self-selecting optimum network architecture Tadashi Kondo (Tokushima Univ.) MBE2007-24 |
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network ... [more] | MBE2007-24 pp.17-20 |
|
| MI | 2005-11-07 17:40 |
Chiba | NIRS | The Development of Intracranial Lesion Detection Algorithm in CT Image of the Emergency Medical Care for Head Trauma Hiroaki Goto (Gifu Univ.), Keiji Sakashita (SCCMC), Sadamitsu Nishihara (Hiroshima Prefectural Coll.), Takeshi Hara, Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) |
Up to now, the development of a variety of CAD systems is tried. But CAD system to the emergency medical care has not be... [more] | MI2005-64 pp.79-84 |
| MI | 2005-01-22 11:40 |
Okinawa | Univ. of the Ryukus | Construction method of 3-D template models of organs for medical image recognition Hotaka Takizawa, Satoshi Fujikawa, Shinji Yamamoto (TUT) |
In this paper, we propose a construction method of three-dimensional object models, namely template models, that abstra... [more] |
MI2004-87 pp.37-42 |
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