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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] MI2019-75
pp.47-52
SIP, MI, IE 2019-05-24
15:15
Aichi   On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning
Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] SIP2019-15 IE2019-15 MI2019-15
pp.65-70
MI 2019-01-22
13:20
Okinawa   [Short Paper] Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning
Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2018-76
Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent yea... [more] MI2018-76
pp.63-64
MI 2017-01-18
14:15
Okinawa Tenbusu Naha [Short Paper]
Nami Nishikwa, Takeshi Hara (Gifu Univ.), Nozaki Taiki, Matsusako Masaki (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Fujita Hiroshi (Gifu Univ.) MI2016-84
(To be available after the conference date) [more] MI2016-84
pp.57-58
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-92 This paper presents the improvement of the humerus recognition algorithm on a bone scintigram. Specifically, we report o... [more] MI2016-92
pp.79-80
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan [Poster Presentation] Improvement of anatomical structure recognition algorithm from a bone scintigram by multi-atlas method
Taro Sunada, Atsushi Saito (TAT), Shohei Hanaoka (TAT/Tokyo Univ.), Shigeaki Higashiyama, Joji Kawabe, Susumu Shiomi (Osaka City Univ.), Akinobu Shimizu (TAT) MI2015-125
(To be available after the conference date) [more] MI2015-125
pp.251-256
MI 2013-01-25
09:15
Okinawa Bunka Tenbusu Kan Anatomical landmark-based local deformation method for medical registration
Keiko Morita, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Yoshitaka Masutani (Dept. of Radiology, The Univ. of Tokyo Hospital), Hidekata Hontani (Naitech) MI2012-93
In this paper, we develop a method for constructing the mean boundary curve of anatomical objects by using anatomical la... [more] MI2012-93
pp.161-166
MI 2010-09-03
16:25
Saitama   A landmark set optimization algorithm from large lists of detected candidates of multiple landmarks
Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Mitsutaka Nemoto, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ.) MI2010-63
Landmark detection algorithms are usable for many medical image processing. However, some false detection or inconsiste... [more] MI2010-63
pp.67-74
MI 2010-01-29
11:40
Okinawa Naha-Bunka-Tenbusu Skull Stripping from Neonatal and Infantile Magnetic Resonance Images Using Two Types of Gaussian Discriminant
Yuko Fujimoto (Univ. of Hyogo), Syoji Kobashi (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Reiichi Ishikura (Hyogo College of Medicine), Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Seturo Imawaki (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2009-141
It is effective to measure cerebral surface and for quantitative diagnosis of neonatal and infantile brain diseases. Thi... [more] MI2009-141
pp.351-356
PRMU, IE, MI 2009-05-28
15:45
Gifu Gifu Univ. Segmentation of Liver in Low-contrast Images Using K-Means Clustering and A Priori Knowledge
Amir Hossein Foruzan (Ritsumeikan Univ/Tehran Univ.), Yen-Wei Chen (Ritsumeikan Univ), Reza Aghaeizadeh Zoroofi (Tehran Univ.), Akira Furukawa (Shiga Univ. of Medical Science), Yoshinobu Sato (Osaka Univ.) IE2009-27 PRMU2009-18 MI2009-18
 [more] IE2009-27 PRMU2009-18 MI2009-18
pp.95-100
PRMU, IE, MI 2009-05-29
15:15
Gifu Gifu Univ. Development of a computer-aided-diagnosis system based on temporal-subtraction tehnique in torso FDG-PET image.
Tokifumi Suzuki, Tomoya Asai, Tatsunori Kobayashi, Takeshi Hara, Xiangrong Zhou (Gifu Univ), Satoshi Ito (Daiyukai Hospital), Tetsuro Katafuchi (Gifu Univ of Medical Science), Hiroshi Fujita (Gifu Univ) IE2009-47 PRMU2009-38 MI2009-38
The purpose of this study is to develop a technique for the computer-aided diagnosis (CAD) system in torso FDG-PET image... [more] IE2009-47 PRMU2009-38 MI2009-38
pp.209-212
MI 2008-10-30
11:35
Tokyo The Univ. of Tokyo Segmentation algorithm for the whole vertebrae applicable to the posterior segment
Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo Univ.)
 [more]
 Results 1 - 12 of 12  /   
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