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Technical Committee on Medical Imaging (MI)  (Searched in: 2019)

Search Results: Keywords 'from:2020-01-29 to:2020-01-29'

[Go to Official MI Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 59  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
09:35
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] a computer diagnosis system of pneumoconiosis using 3D chest CT images
Nana Mori, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Katsuya Kato (Kawasaki Medical School), Takumi Kishimoto (Okayama Rosai Hospital), Kazuto Ashizawa (Nagasaki Univ.) MI2019-65
 [more] MI2019-65
pp.1-3
MI 2020-01-29
09:45
Okinawa OKINAWAKEN SEINENKAIKAN
Mika Kamiya, Shiho Okuhata, Tetsuo Kobayashi (Kyoto Univ.) MI2019-66
(To be available after the conference date) [more] MI2019-66
pp.5-10
MI 2020-01-29
09:55
Okinawa OKINAWAKEN SEINENKAIKAN Automated dection for neck and thoracic lesions on FDG-PET/CT by lesion enhancement using one-class SVM
Atsuko Tanaka, Mitsutaka Memoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Kazuyuki Ushifusa (Kindai Uni), Kohei Hanaoka (Kindai Uni Hosp), Kazuhiro Kitajima (Hyogo Col of Med), Tatsuya Tsuchitani (Hosp of Hyogo Col of Med), Kazunari Ishii (Kindai Uni) MI2019-67
We propose an anomaly detection based method to detect primary and metastatic lesions in the cervical and thoracic regio... [more] MI2019-67
pp.11-14
MI 2020-01-29
10:05
Okinawa OKINAWAKEN SEINENKAIKAN A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets -- Experimental evaluations of feature generation by small datasets --
Kazuyuki Ushifusa, Mitsutaka Nemoto(, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Atsuko Tanaka (Kindai Uni.), Naoto Hayashi (The Uni of Tokyo Hosp) MI2019-68
In a computer-aided detection system, image features are essential factors. In this study, we propose an image feature g... [more] MI2019-68
pp.15-18
MI 2020-01-29
10:15
Okinawa OKINAWAKEN SEINENKAIKAN Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database
Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-69
Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been... [more] MI2019-69
pp.19-22
MI 2020-01-29
10:45
Okinawa OKINAWAKEN SEINENKAIKAN Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction
Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2019-70
As implicit medical knowledge and experience are used to perform medical treatment, clarification of decision making is ... [more] MI2019-70
pp.23-28
MI 2020-01-29
10:55
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Improvement of a statistical model of human embryonic anatomical landmarks
Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (KU), Hidekata Hontani, Hiroshi Matsuzoe (NIT), Shoko Miyauchi, Ken'ichi Morooka (QU), Akinobu Shimizu (TUAT) MI2019-71
(To be available after the conference date) [more] MI2019-71
pp.29-30
MI 2020-01-29
11:05
Okinawa OKINAWAKEN SEINENKAIKAN A preliminary study on deformation analysis of collapsed lung using intraoperative CBCT images
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2019-72
 [more] MI2019-72
pp.31-36
MI 2020-01-29
11:15
Okinawa OKINAWAKEN SEINENKAIKAN Automated analysis of 3D dynamics of foot and ankle joints using robust CT segmentation and multi-rigid 2D-3D registration.
Shuntaro Mizoe, Yoshito Otake (NAIST), Takuma Miyamoto (Nara Med Univ.), Mazen Soufi, Yuta Hiasa (NAIST), Shinichi Kosugi (Kosugi Clinic of Orthopedic), Yasuhito Tanaka (Nara Med Univ.), Yoshinobu Sato (NAIST) MI2019-73
 [more] MI2019-73
pp.37-42
MI 2020-01-29
11:25
Okinawa OKINAWAKEN SEINENKAIKAN Evaluation of OpenSim Biomechanical Analysis with Muscle Model Derived from Fiber Tractography in High-Resolution Cryo-section Images
Nobuaki Hagioka, Mazen Soufi, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-74
 [more] MI2019-74
pp.43-46
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
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Poster Presentation] Computerized Determination Method for Histological Classification of Breast Masses on Ultrasonographic Images Using CNN Features and Morphological Features
Shinya Kunieda, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univ.) MI2019-76
The purpose of this study was to develop a computerized determination method for histological classifications of masses ... [more] MI2019-76
pp.53-55
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Poster Presentation] Computerized Classification Method of Benign and Malignant Masses in Multiple MRI Sequences using Convolutional Neural Network
Yuichi Mima, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univer) MI2019-77
Breast magnetic resonance imaging (MRI) has a higher sensitivity of early breast cancer than mammography and ultrasonogr... [more] MI2019-77
pp.57-59
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
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Growth process analysis of nodular shadows in chest CT images using function expression
Shoko Inagaki, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's Hospital) MI2019-79
Volume changes of lung nodules were recognized to prognose and to predict the abnormalities in the follow-up treatments.... [more] MI2019-79
pp.67-69
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Retinal nerve fiber layer analysis on fundus images using CNN trained with OCT data
Ryusuke Watanabe (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Akira Sawada, Xiangrong Zhou (Gifu Univ.), Yuji Hatanaka (USP), Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.) MI2019-80
Glaucoma is the first leading cause of blindness in Japan. However, glaucoma only has a few warning signs or symptoms. T... [more] MI2019-80
pp.71-72
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Recognition of dentition using deep learning in dental panoramic X-ray images
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Xiangrong Zhou (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Wataru Nishiyama (Asahi Univ), Takeshi Hara (Gifu Univ.), Yoshiko Ariji, Eiichiro Ariji (Aichi Gakuin Univ.), Akitoshi Katsumata (Asahi Univ), Hiroshi Fujita (Gifu Univ.) MI2019-81
Dental panoramic X-ray images are obtained at more than 98% of dental clinics in Japan. However, since all the teeth are... [more] MI2019-81
pp.73-74
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Shota Kutsuna (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (Media CO., Ltd.), Xiangrong Zhor (Gifu Univ.), Wataru nishiyama (Asashi Univ.), Yoshiko Ariji (Aichi-Gakuin Univ.), Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asashi Univ.), Eichiro Ariji (Aichi-Gakuin Univ.), Hiroshi Fujita (Gifu Univ.) MI2019-82
Recently, image diagnosis using dental panoramic X-ray images and dental cone-beam CT (CBCT) is widely used in dental tr... [more] MI2019-82
pp.75-76
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Automatic segmentation of malignant tumors using PET/CT images and statistical images
Manami Haga, Takeshi Hara (Gifu Univ.), Satoshi Ito, Masaya Kato (Daiyukai Hospital), Masaki Matsusako (St.Luke's Hospital), Zhou Xiangrong (Gifu Univ.), Tetsuro Katafuchi (Gifu Univ. of Medical Science), Hiroshi Fujita (Gifu Univ.) MI2019-83
The purpose of this study was to develop an automated detection system of tumors in FDG-PET/CT images. In this work, an ... [more] MI2019-83
pp.77-81
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN MI2019-84 (To be available after the conference date) [more] MI2019-84
pp.83-84
 Results 1 - 20 of 59  /  [Next]  
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