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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-01-27
16:39
Online Online [Short Paper] Multiple Organ Detection from CT Images Based on Deep Learning -- Fusion of 2D-CNN and Transformer --
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] MI2021-89
pp.190-193
MI 2021-07-08
13:30
Online Online [Short Paper] Performance comparison of multiple deep CNN methods for multiple organ detection in CT images
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] MI2021-10
pp.7-10
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Improvement of a gallbladder segmentation algorithm from a contrast enhanced abdominal CT volume -- Improvement of an EM algorithm for parameter estimation --
Tomomi Yamanaka, Atsushi Saito (TUAT), Sigeru Nawano (IUHW), Junji Ueno (Kitajima Taoka Hospital), Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT) MI2019-112
(To be available after the conference date) [more] MI2019-112
pp.201-202
MI 2019-01-22
13:20
Okinawa   [Short Paper] Improvement of a gallbladder segmentation algorithm from a contrast enhanced CT volume
Tomomi Yamanaka, Atsushi Saito (TUAT), Sigeru Nawano (IUHW), Junji Ueno, Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT) MI2018-67
(To be available after the conference date) [more] MI2018-67
pp.35-36
MI 2019-01-22
13:20
Okinawa   [Short Paper] Detection of multiple organs in 3D CT images by using a deep learning
Takuya Kojima, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2018-74
(To be available after the conference date) [more] MI2018-74
pp.55-56
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] 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
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:40
Okinawa   [Short Paper] Automatic segmentation of multiple organs in CT images by combining 2D and 3D Deep Learning methods.
Takuya Kojima, Kazuma Yamada, Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Hiroshi Fujita (Gifu Univ.) MI2017-75
(To be available after the conference date) [more] MI2017-75
pp.37-38
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-87 (To be available after the conference date) [more] MI2016-87
pp.63-64
MI 2017-01-18
14:15
Okinawa Tenbusu Naha [Short Paper]
Takuya Kojima, Xiangrong Zhou (Gifu Univ.), Kagaku Azuma (University of Occupational and Environmental Health), Ryujiro Yokoyama, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) MI2016-89
(To be available after the conference date) [more] MI2016-89
pp.69-70
PRMU, IE, MI, SIP 2016-05-19
13:30
Aichi   Automatic classification of breast density on CT images by using deep CNN
Takuya Kano, Xiangrong Zhou (Gifu Univ.), Hiromi Koyasu (Gifu Univ. Hosp.), Ryuziro Yokoyama, Takeshi Hara (Gifu Univ.), Masayuki Matsuo (Gifu Univ. Hosp.), Hiroshi Fujita (Gifu Univ.) SIP2016-5 IE2016-5 PRMU2016-5 MI2016-5
Breast density has been used as an important risk factor of breast cancer and routinely measured on 2D mammography. 3D C... [more] SIP2016-5 IE2016-5 PRMU2016-5 MI2016-5
pp.21-25
MI 2012-01-19
14:40
Okinawa   [Special Talk] Computer-aided differential diagnosis of lung cancer using three-dimensional thoracic CT images
Yoshiki Kawata, Noboru Niki (Tokushima Univ) MI2011-108
In the recent release of positive results from the National Lung Screening Trial (NLST) screening trial in the US showin... [more] MI2011-108
pp.171-172
MI 2009-11-11
15:40
Osaka Osaka Univ. Icho Kaikan A retrospective evaluation of an automated system for CT-based THA planning based on anatomical compatibility and joint function
Itaru Otomaru, Futoshi Yokota (Kobe Univ.), Masahiko Nakamoto (Osaka Univ.), Yoshiyuki Kagiyama (Osaka Univ./Kobe Univ.), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Yoshinobu Sato (Osaka Univ.) MI2009-71
This paper describes an automated system of preoperative planning for total hip arthroplasty. This system determines siz... [more] MI2009-71
pp.33-38
 Results 1 - 13 of 13  /   
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