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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI, MICT 2023-11-14
13:20
Fukuoka   Medical image diagnosis support system with image anonymization based on deep learning techniques
Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] MICT2023-30 MI2023-23
pp.21-24
EST 2022-01-28
11:00
Online Online Blood Vessel Structure Analysis using a Simulation Model for the Purpose of Polyp Shape Recovery from Endoscopic Images
Shusuke Kato, Hiroyasu Usami, Akihiko Okazaki, Yuji Iwahori (Chubu Univ.), Ogasawara Naotaka, Kunio Kasugai (Aichi Medical Univ.) EST2021-83
In recent years, the incidence of colorectal cancer in Japan has been on the rise. It is essential to realize a medical ... [more] EST2021-83
pp.130-135
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]
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 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
NC, MBE
(Joint)
2011-03-09
10:40
Tokyo Tamagawa University Effect of Pre-processing and Sampling Sizes on Performance of Neural Networks for Detection of Abnormal Positions from X-ray Images of Chest
Takahiro Sasaki, Kentaro Kinoshita, Satoru Kishida, Yoshiharu Hirata, Seigo Yamada (Tottori Univ.) NC2010-188
We constructed systems with neural networks for detection of abnormal positions from X-ray images of chest and investiga... [more] NC2010-188
pp.361-366
PRMU, HIP 2010-03-16
10:00
Kagoshima Kagoshima Univ. Research on Automatic Detection of Lacunar Infraction in Brain CT Images -- Configuration of Detection Areas by Level Set Method --
Kazuki Gatayama, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.), Masakazu Miyanohara (Kyo-machi Internal Diseases Cranial Clinic) PRMU2009-287 HIP2009-172
Although the diagnosis of cerebral infraction is important, it mainly depends on doctor's medical knowledge and experien... [more] PRMU2009-287 HIP2009-172
pp.317-322
NC, MBE
(Joint)
2010-03-10
11:30
Tokyo Tamagawa University Applications of Neural Networks into Judgement from X-ray Images of Chest
Takahiro Sasaki (Tottori Univ/Sharp Corp.), Kentaro Kinoshita, Satoru Kishida (Tottori Univ), Yoshiharu Hirata, Seigo Yamada (Tottori Univ Hospital) NC2009-134
We constructed the system including neural networks for medical diagnosis support and investigated the performance of th... [more] NC2009-134
pp.273-278
SWIM 2010-02-26
14:05
Tokyo Kikai Sinkukaikan B3-2 Implementation of the Navigation System VONAVS for the Blind in Patient Service Cloud
Tamotsu Noji, Hiroyuki Kitamura, Yuusuke Minato (Tokai Univ.) SWIM2009-21
he main point of the guidance support method for visually impaired person and blind person is show the possibility of th... [more] SWIM2009-21
pp.13-18
MI 2010-01-28
11:40
Okinawa Naha-Bunka-Tenbusu [Poster Presentation] Conception to develop global collaboration medical network system with electronic referral letters, based on the cloud computing
Yasuzo Suto (Azabu Univ.), Hitoshi Sasaki (Cores), Hiroyuki Kitamura, Tamotsu Noji (Tokai Univ.), Minoru Horii (Hachiouji Hospital) MI2009-98
We have developed the medical images management system including medical image diagnosis supporting, healthcare system b... [more] MI2009-98
pp.121-126
ET 2009-11-06
10:30
Nagano Shinshu Univ. Construction of education support system for radiologic technologists using internet -- (Transaction of learning support content for diagnosis of medical images) --
Isao Yamada (Gifu National Coll. of Tech.), Mituteru Onoki, Takahiro Yoshida (Gifu Univ. of Medical Science) ET2009-41
In recent year, the medical device technology for diagnosis such as Computed Tomography and Magnet Resonance Imaging are... [more] ET2009-41
pp.5-9
ITE-HI, ITE-AIT, ITE-ME, IE, ITS 2008-02-19
13:20
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ The sulcal extraction from MRI data of patients with brain tumor for medical support
Nobuyuki Hirooka (Iwate Prefec. Univ.), Ikuko Uwano (Iwate Medical Univ.), Masashi Kameda (Iwate Prefec. Univ.) ITS2007-75 IE2007-258
In spite of medical image processing such as Computer Aided Diagnosis is developed, any support for brain tumor patients... [more] ITS2007-75 IE2007-258
pp.71-76
MI 2008-01-25
17:05
Okinawa Naha-Bunka-Tenbusu Development of Integrated Medical Information System for Clinics
Yudai Hirota, Takaaki Kawai, Yasuzo Suto (Tokai Univ.) MI2007-107
We have developed the medical images management system including medical image diagnosis supporting, healthcare system b... [more] MI2007-107
pp.241-246
MI 2008-01-25
17:15
Okinawa Naha-Bunka-Tenbusu Development of medical global collaboration system based on 3D image diagnosis collaboration
Takaaki Kawai, Yudai Hirota, Yasuzo Suto (Tokai Univ.) MI2007-108
We have developed the medical images management system, home care medicine system by mobile phone , electronic referral ... [more] MI2007-108
pp.247-254
DE, DC 2007-10-16
13:30
Tokyo Kikai-Shinko-Kaikan Bldg A study of diagnosis support system with modeled interpreting environment for the PET - CT fusion image
Mikiko Tsutsui, Hironori Aoki, Shota Suzuki, Takashi Tomii (Yokohama National Univ.) DE2007-125 DC2007-22
Medical doctors create fusion image when they interpret whole body images obtained by PET-CT, which is one of modalities... [more] DE2007-125 DC2007-22
pp.57-62
MI 2006-01-27
13:00
Okinawa Miyakojimashi-Chuo-Kouminkan Manipulation of multi-dimensional medical image constructed by Web3D software and diagnosis collaboration based on C/S system
Toshihiro Sakurai (Tokai Univ.), Tomohito Shibagaki, Erina Ueda, Otuka Tisato, Yasuzo Suto, Makoto Otaki, Minoru Horii (Tokai Univ)
Three-dimensional surface image, constructed by multi-sliced CT/MRI images for the tuber organ such as stomach is very u... [more] MI2005-91
pp.101-104
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 2005-01-21
13:00
Okinawa Univ. of the Ryukus Multi-dimensional image diagnosis supporting system by web3D
Tomohito Shibagaki, Yuudai Asahina, Toshihiko Sakurai, Yasuzo Suto, Makoto Ohtaki, Minoru Horii (Tokai Univ.), Reo Yamaguchi (Celestiale)
Virtual endo-scope image is the three-dimensional surface image, constructed by multi-sliced CT/MRI images for the tuber... [more] MI2004-64
pp.79-82
 Results 1 - 20 of 20  /   
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