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Technical Committee on Medical Imaging (MI)  (Searched in: 2009)

Search Results: Keywords 'from:2009-07-15 to:2009-07-15'

[Go to Official MI Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2009-07-15
09:30
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 A Single Image Based Super Resolution Approach Using FREBAS Transform
Yushi Harada, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2009-40
Super-resolution is a method of restoring an image by extrapolating the signal beyond the band-limited receiver system. ... [more] MI2009-40
pp.1-5
MI 2009-07-15
09:50
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Denosing of Low SNR Images Using FREBAS Transform
Masato Yomogida, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2009-41
The FREBAS transform, which we have proposed, has been applied for image denoising, in which noise removal is executed i... [more] MI2009-41
pp.7-12
MI 2009-07-15
10:10
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Building a web-based CAD process server for clinical use of CAD software
Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shouhei Hanaoka, Eriko Maeda, Kuni Ohtomo (Univ. of Tokyo) MI2009-42
The development of computer-assisted detection (CAD) software involves a cycle such as algorithm development, software i... [more] MI2009-42
pp.13-18
MI 2009-07-15
10:40
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 An Image Analysis for Tree-drawing Test Using Moments in each Order and Fourier Translation.
Takuya Kura, Toru Fujiwara, Shuhei Miyata, Rintaro Abe, Masahiko Shinno (Shinshinkai) MI2009-43
The tree drawing (baum) test is a formal test admired by the health insurance and widely used in the mental medicine, in... [more] MI2009-43
pp.19-24
MI 2009-07-15
11:00
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Glaucoma Risk Assessment Based on Analysis of Optic Disc on Retinal Fundus Images
Yuji Hatanaka (Univ. Shiga Pref.), Keisuke Fukuta, Atsushi Noudo, Chisako Muramatsu, Akira Sawada, Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.) MI2009-44
Glaucoma is a leading cause of permanent blindness. Retinal fundus image examination is useful for early detection of gl... [more] MI2009-44
pp.25-28
MI 2009-07-15
11:20
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Development of a method for quantifying the spinal curvature in X-ray CT images and its evaluation
Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2009-45
Spinal curvature contributes to maintaining spinal balance, and maintaining normal spinal curvature is important. This s... [more] MI2009-45
pp.29-32
MI 2009-07-15
11:40
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 cortical and cancellous bone partition and normalized density map of the vertebral bodies based on generalized cylinder model
Shouhei Hanaoka (Tokyo univ.), Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ) MI2009-46
We developed a 2-D deformable model of a cross-sectional vertebral body shape for cancellous bone segmentation in clinic... [more] MI2009-46
pp.33-38
MI 2009-07-15
13:00
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 [Special Talk] DhaibaHand, computational modeling of human hands
Masaaki Mochimaru (AIST) MI2009-47
DhaibaHand, a computational hand model was developed in order to assess usability of products descibed on CAD systems. R... [more] MI2009-47
pp.39-43
MI 2009-07-15
13:45
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 [Tutorial Lecture] Bayesian Network Modeling from Large-scale Data
Yoichi Motomura (AIST) MI2009-48
 [more] MI2009-48
pp.45-50
MI 2009-07-15
15:30
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Study on bronchus region extraction from 3D chest CT images using local intensity structure analysis and CT value distribution features
Hiroaki Yano, Marco Feuerstein (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kensaku Mori (Nagoya Univ.) MI2009-49
 [more] MI2009-49
pp.51-56
MI 2009-07-15
15:50
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Revised GMDH-type neural network self-organizing optimum neural network architecture and its application to 3-dimensional medical image recognition of heart region
Tadashi Kondo, Junji Ueno (Tokushima Univ.) MI2009-50
In this study, a revised GMDH-type neural network algorithm self-organizing the optimum neural network architecture is a... [more] MI2009-50
pp.57-62
MI 2009-07-15
16:10
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Liver segmentation algorithm based on extraction of main portal and hepatic veins from multislice CT images
Ahmed S. Maklad, Yoshifumi Kishi, Yoshiki Kawata, Noboru Niki, Masanori Nishioka, Mitsuo Shimada (Univ. of Tokushima) MI2009-51
The major problem confronting surgeons during hepatic resection, both in the past and today, has been hemorrhage control... [more] MI2009-51
pp.63-68
MI 2009-07-15
16:40
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Advanced Pancreas Segmentation from Three Dimensional Contrast Enhanced CT Images by Ensemble Learning
Hiroaki Ochiai, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-52
This paper presents an ensemble segmentation to improve performance of pancreas segmentation from three dimensional cont... [more] MI2009-52
pp.69-74
MI 2009-07-15
17:00
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Study of learning for classifier ensemble to differentiate lesion voxels -- Relation between initial weight for training sample data and classification accuracy of trained ensemble --
Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. Tokyo) MI2009-53
 [more] MI2009-53
pp.75-78
MI 2009-07-15
17:20
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Metastatic Liver Tumor Segmentation from Plain and Contrast Enhanced Computed Tomography
Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-54
This paper presents an automated metastatic liver tumor segmentation process from plane and portal venous CT volumes. Fi... [more] MI2009-54
pp.79-84
 Results 1 - 15 of 15  /   
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