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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 119 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-09-03
10:00
Online Online Lung region segmentation of thoracoscopic image with unsupervised image translation
Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] MI2020-19
pp.13-18
MI 2020-09-03
14:40
Online Online Analysis of pneumothorax deformation for in vivo animal lungs using model-based registration
Kotaro Kobayashi, Megumi Nakao, Junko Tokuno (Kyoto Univ.), Toyofumi F Chen-Yoshikawa (Nagoya Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-30
(To be available after the conference date) [more] MI2020-30
pp.57-62
MBE 2020-06-12
13:25
Online Online Development of the image recognition part of a medical equipment operation support system using smartglasses
Hisashi Miyazaki, Michiko Kawasaki, Isao Kayano (Kawasaki Univ. of Medical Welfare), Hideyuki Oiwa (Medical Universe), Masaki Fujita (Enhanlabo), Takashi Hisagami, Toshihisa Hirose (Tik) MBE2020-7
We are developing a support system with the aim of assisting surgery using a heart-lung device. In this system, the user... [more] MBE2020-7
pp.5-8
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Poster Presentation] Detection of lung nodules on CT images by use of YOLO
Xu Chen, Yasushi Hirano (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MI2019-78
The number of deaths caused by lung cancer in Japan is relatively high for both men and women. Chest CT screening has be... [more] MI2019-78
pp.61-65
MBE, MICT 2020-01-25
10:30
Kumamoto KKR Hotel Kumamoto Fundamental study on the factor causing ventilator associated pneumonia
Kousuke Ohno, Toshitugu Sugawara, Kazuyuki Kimura, Hisae Shimizu, Masaji Yamashita (HUS) MICT2019-42 MBE2019-71
Ventilator Associated Pneumonia (VAP) is infection that patient has no pneumonia at the time of hospitalization or befor... [more] MICT2019-42 MBE2019-71
pp.15-18
PRMU 2019-10-19
10:45
Tokyo   Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning
Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] PRMU2019-44
pp.67-72
MBE, NC 2019-10-11
15:00
Miyagi   Analysis of diffuse lung disease shadows using Bolasso feature selection method
Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patte... [more]
MBE2019-33 NC2019-24
pp.23-27
MI 2019-07-05
14:50
Hokkaido Future Univ. Hakodate [Short Paper] 3D microstructural analysis of pulmonary emphysema using a synchrotron radiation micro-CT
Kurumi Saito, Shota Fuketa, Ryouhei Shimatani, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Keiji Umetani (JASRI), Hiroaki Sakai (AGMC), Yasutaka Nakano (Shiga Univ. of Med. Sci.), Toshihiro Okamoto (Cleveland Clinic), Harumi Itoh (Fukui Univ.) MI2019-19
(To be available after the conference date) [more] MI2019-19
pp.7-8
MBE 2019-06-21
13:00
Hokkaido   A study of medical equipment operation support system using smartglasses
Hisashi Miyazaki, Michiko Kawasaki, Takuya Matsumoto, Isao Kayano (Kawasaki Univ. of Medical Welfare), Hideyuki Oiwa, Masaki Fujita (Enhanlabo), Takashi Hisagami, Toshihisa Hirose (Tik) MBE2019-16
(To be available after the conference date) [more] MBE2019-16
pp.1-4
SIP, MI, IE 2019-05-24
14:00
Aichi   Analysis of deaeration deformation for ex vivo animal lung
Kotaro Kobayashi, Megumi Nakao, Junko Tokuno, Toyofumi F. Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda (Kyoto Univ.) SIP2019-12 IE2019-12 MI2019-12
Recent advance of imaging techniques enables to visualize minute lung nodules in the early stage cancer. Although lung n... [more] SIP2019-12 IE2019-12 MI2019-12
pp.53-58
NLC, IPSJ-IFAT 2019-02-08
10:45
Kyoto Ryukoku University Omiya Campus Development of Phenotyping algorithm from Medical Text-based Data using Machine Learning Methods
Takanori Yamashita, Rieko Izukura, Sachio Hirokawa, Naoki Nakashima (Kyushu Univ.) NLC2018-45
Electronic medical records (EMRs) accumulated in the Hospital Information System (HIS) are called Real World Data (RWD).... [more] NLC2018-45
pp.53-57
MI 2019-01-22
09:50
Okinawa   [Short Paper] Improvement of super-resolution process of a lung micro CT volume by generative adversarial network
Katsuki Tozawa, Atsushi Saito (Tokyo University of Agriculture and Technology), Shoji Kido (Yamaguchi Univ.), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (Tokyo University of Agriculture and Technology) MI2018-60
(To be available after the conference date) [more] MI2018-60
pp.5-6
MI 2019-01-22
15:35
Okinawa   Segmentation of lung nodules on 3D CT images by using DeconvNet and V-Net
Shunsuke Kidera, Shoji Kido, Yasushi Hirano (Yamaguchi Univ.), Nobuyuki Tanaka (Saiseikai Hosp) MI2018-85
Semantic segmentation of lung nodules is important for texture analysis. However, manual segmentation needs a lot of tim... [more] MI2018-85
pp.103-106
MI 2019-01-23
14:00
Okinawa   [Short Paper] The blood vessels analysis of 3D lung microstructure using SRmicroCT images
Shota Fuketa, Kurumi Saito, Satoru Ohnishi, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Keiji Umetani (JASRI), Hiroaki Sakai (Hyogo AGMC), Yasutaka Nakano (Shiga Univ. of Med. Sci.), Toshihiro Okamoto (Cleveland Clinic), Harumi Itoh (Univ. of Fukui) MI2018-97
Changes on CT of images at micro level from the normal lung, which indicate a very early stage lung disease and quantita... [more] MI2018-97
pp.157-159
MI 2019-01-23
14:00
Okinawa   [Short Paper] A Lung Cancer Risk Prediction Model based on Clinical Information and Chest CT Images Analyses
Takeru Kageyama, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Masahiko Kusumoto (National Cancer Center), Hironobu Ohmatsu (Abashiri Prison), Yoshiki Aokage, Takaaki Tsuchida, Yuji Matsumoto (National Cancer Center), Kenji Eguchi (Teikyo Univ.), Masahiro Kaneko (Tokyo Health Service Association Health Support Center) MI2018-98
Lung cancer accounts for the number of cancer deaths first, and it is on an increasing trend. Although lung cancer CT sc... [more] MI2018-98
pp.161-163
MI 2019-01-23
14:00
Okinawa   Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net
Kanako Murakami, Shoji Kido, Yasushi Hirano, Shingo Mabu (Yamaguchi Univ.), Kenji Kondo (AIST/Panasonic), Jun Ozawa (AIST) MI2018-102
Segmentation is important for diagnosis of diffuse lung diseases (DLD) as same as classification. In recent years, a lot... [more] MI2018-102
pp.175-179
MI 2018-09-28
10:55
Tokyo Tokyo Women's Medical University Method of Calculation of Priority in Nodule Detection CAD Algorithm for CT Lung Cancer Screening
Hanae Yoshida, Masahiro Kageyama, Masahiro Ogino, Masayuki Kanai, Takashi Shirahata (Hitachi) MI2018-33
Method of Calculation of Priority in Nodule Detection CAD Algorithm for CT Lung Cancer ScreeningWe developed a priority ... [more] MI2018-33
pp.3-8
MI 2018-07-24
15:05
Iwate aiina (Morioka, Iwate) Improving Accuracy of Lung nodules Detection by Transfer Learning
Tatsuya Yamazaki, Hayato Yamakawa, Norihiko Yoshimura, Motohiko Yamazaki (Niigata Univ.) MI2018-29
In Japan, cancer is the first leading cause of death and, in particular, fatalities of lung cancer is increasing recentl... [more] MI2018-29
pp.39-43
MBE, NC
(Joint)
2018-03-13
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. Development of a deglutition monitoring system using swallowing and respiratory sounds
Hayato Sonokawa, Takamasa Yoshida, Nobuyuki Terada (Toyo Univ.) MBE2017-94
Swallowing and breathing work coordinately to route air and food bolus. The pharyngeal-muscular incoordination can cause... [more] MBE2017-94
pp.75-78
WIT, HI-SIGACI 2017-12-07
13:25
Tokyo AIST Tokyo Waterfront Development of Web application that supports Cardio Pulmonary Resuscitation for visual impairments
Kentaro Tani (NUHW), Yasuhiro Taira (Niigata Univ.), Takahisa Kamikura (NUHW), Yoshinobu Maeda (Niigata Univ.) WIT2017-58
Basic life support including cardio pulmonary resuscitation is an important treatment greatly contributing to the progno... [more] WIT2017-58
pp.105-108
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