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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 34 of 34 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2012-01-20
09:45
Okinawa   Pulmonary Nodule Detection from X-ray CT images using Moment-of-Inertia Filter with Radial Suppression Filter
Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) MI2011-118
In this report, we propose a detection method of pulmonary nodules in X-ray CT images using several image filters. First... [more] MI2011-118
pp.227-230
MI 2011-09-06
13:55
Ibaraki AIST Pulmonary Nodule Detection from X-ray CT Images Using Discriminant Filters and K-means Clustering
Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) MI2011-55
In this report, we propose a detection method of pulmonary nodules in X-ray CT images using discriminant filters and k-m... [more] MI2011-55
pp.41-46
NC, MBE
(Joint)
2011-03-09
10:40
Tokyo Tamagawa University Effect of Pre-processing and Sampling Sizes on Performance of Neural Networks for Detection of Abnormal Positions from X-ray Images of Chest
Takahiro Sasaki, Kentaro Kinoshita, Satoru Kishida, Yoshiharu Hirata, Seigo Yamada (Tottori Univ.) NC2010-188
We constructed systems with neural networks for detection of abnormal positions from X-ray images of chest and investiga... [more] NC2010-188
pp.361-366
NC, MBE
(Joint)
2011-03-08
13:10
Tokyo Tamagawa University Consideration on Lung Region Extraction for Detecting Abnormal Feature in Chest X-Ray Image
Yuji Iwata, Makoto Ohki, Arato Kasahara (Tottori Univ.) MBE2010-120
Diagnosis in Chest X-ray images are based on the shape of the lobes, the presence of a circular kind of shadow or shade ... [more] MBE2010-120
pp.99-102
NC, MBE
(Joint)
2010-03-10
11:30
Tokyo Tamagawa University Applications of Neural Networks into Judgement from X-ray Images of Chest
Takahiro Sasaki (Tottori Univ/Sharp Corp.), Kentaro Kinoshita, Satoru Kishida (Tottori Univ), Yoshiharu Hirata, Seigo Yamada (Tottori Univ Hospital) NC2009-134
We constructed the system including neural networks for medical diagnosis support and investigated the performance of th... [more] NC2009-134
pp.273-278
MI 2009-09-16
10:30
Fukuoka Kyushu Institute of Technology Library A Contralateral Subtraction Scheme for Detection of Pulmonary Nodules in Chest Radiographs
Yoshitomi Harada, Ryoichi Nagata, Tsuyoshi Kawaguchi, Hidetoshi Miyake (Oita Univ.) MI2009-55
Contralateral subtraction (C-sub) is a computer-aided diagnosis technique for detecting pulmonary nodules in chest radio... [more] MI2009-55
pp.1-6
MI 2009-09-16
11:00
Fukuoka Kyushu Institute of Technology Library Pulmonary Nodule Detection from X-ray CT Images Using Discrimination Filters
Hidetoshi Nishizako, Hotaka Takizawa (Univ. of Tsukuba), Shinji Yamamoto (Chukyo Univ.), Shinichi Wada (Niigata Univ.), Toru Matsumoto (Kensei Clinic) MI2009-56
In this paper, we propose a pulmonary nodule detection method from X-ray CT images using discrimination filters. First, ... [more] MI2009-56
pp.7-12
PRMU, IE, MI 2009-05-28
13:00
Gifu Gifu Univ. [Special Talk] Reconstruction of 4D MR image and application
Hideaki Haneishi (Chiba Univ.), Yoshitada Masuda (Chiba Univ Hospital,) IE2009-17 PRMU2009-8 MI2009-8
Motion of thoracoabdominal region due to respiration causes image blur in nuclear imaging modalities such as PET and SPE... [more] IE2009-17 PRMU2009-8 MI2009-8
pp.41-46
MI 2009-01-20
10:50
Overseas National Taiwan University Plug-ins for PLUTO to identify inflammatory nodules in chest CT images
Yasushi Hirano (Nagoya Univ.), Nobuhiko Seki, Kenji Eguchi (Teikyo Univ.) MI2008-110
In this paper, we introduce an implementation of plug-ins on PLUTO. These plug-ins discriminate inflammatory nodules fr... [more] MI2008-110
pp.235-240
MI 2009-01-20
14:30
Overseas National Taiwan University [Poster Presentation] A Rule-Based Method for Detection of Ribcage Boundary in Chest Radiographs
Ryoichi Nagata, Tsuyoshi Kawaguchi, Hidetoshi Miyake (Oita Univ.) MI2008-147
The ribcage boundary of chest images provides useful information on the location, shapes, and size of lung fields that a... [more] MI2008-147
pp.401-406
MI 2008-10-30
11:10
Tokyo The Univ. of Tokyo Preliminary study of computerized detection of ground-glass opacity nodules in chest CT images
Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Haruhiko Ito, Shouhei Hanaoka, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. of Tokyo)
We have been developing a computerized detection method of lung nodules based on volumetric curvature, and our method em... [more]
MI 2008-10-30
14:45
Tokyo The Univ. of Tokyo A Novel Method for Detection of Ribcage Boundary in Chest Radiographs
Ryoichi Nagata, Tsuyoshi Kawaguchi, Hidetoshi Miyake (Oita Univ.)
The ribcage boundary of chest images provides useful information on the location, shapes, and size of lung fields that a... [more]
MI 2005-11-07
16:15
Chiba NIRS Anatomical classification of bones on 3D chest CT images using a digital atlas of human anatomy
Toshiki Homma, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Hidefumi Ezawa, Susumu Kandatsu, Hirohiko Tsujii (NIRS)
In this paper, we propose an anatomical classification method of bones in the 3D chest CT images using a digital atlas o... [more] MI2005-61
pp.63-68
MI 2005-01-22
14:00
Okinawa Univ. of the Ryukus Development of feature for recognizing inflammatory nodules from chest CT images using nodule shape and connecting point of blood vessel
Yosuke Morita, Yasushi Hirano, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Junichiro Toriwaki (Chukyo Univ.), Nobuhiko Seki, Kenji Eguchi (Tokai Univ.)
In this paper, we propose a new method for recognizing inflammatory nodules from thin slice chest CT images. It is known... [more] MI2004-100
pp.109-114
 Results 21 - 34 of 34 [Previous]  /   
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