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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
MI 2009-01-19
14:35
Overseas National Taiwan University Automatic Lung Nodule Registration in Serial CT Scans
Hyun Hee Jo, Helen Hong (Seoul Women's Univ.), Jin Mo Goo, Chang Min Park (Seoul National Univ. Hospital) MI2008-69
To identify corresponding pulmonary nodules in serial CT scans for interval change analysis, we propose a multi-stage re... [more] MI2008-69
pp.49-50
MI 2009-01-19
13:30
Overseas National Taiwan University [Poster Presentation] High-speed Detection Method of Solitary Nodules in 3D Chest CT images Based on Cylindrical Filter
Atsushi Teramoto (Fujita Health Univ.), Masatoshi Tsuzaka (Nagoya Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2008-77
A number of researchers have developed two-dimensional (2D) and three dimensional (3D) methods for detecting solitary no... [more] MI2008-77
pp.83-86
MI 2009-01-20
11:00
Overseas National Taiwan University Recognition of Pulmonary Nodules on CT using 3-D Object Models
Hotaka Takizawa (Univ. of Tsukuba), Shinji Yamamoto (Chukyo Univ.), Tsuyoshi Shiina (Kyoto Univ.) MI2008-111
The present paper describes a novel recognition method of pulmonary nodules in thoracic CT scans by use of 3-D spherical... [more] MI2008-111
pp.241-246
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
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 2006-01-27
13:00
Okinawa Miyakojimashi-Chuo-Kouminkan Computer-Aided Diagnosis System for Lung Cancer using Retrospective CT Images
Hironori Nakashima, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Hironobu Ohmatsu (National Cancer Center Hospital East), Kenji Eguchi (School of Medicine Tokai Univ), Yoshiyuki Nishiyama (Social Health Insurance Medical Center), Masahiro Kaneko, Masahiko Kusumoto (National Cancer Center Hospital), Ryutaro Kakinuma, Noriyuki Moriyama (National Cancer Center Research Center for Center Prevention an)
Since comparative reading using retrospective CT images identifies pathological changes clearly. The technique is effect... [more] MI2005-73
pp.29-32
MBE 2005-07-29
10:20
Tokushima   The Impact of Postprocessing Techniques on the Interpretation of MDCT data in Patients with Lung Nodules
Kazuhide Yoneda, Junji Ueno, Tetsuya Tujikawa, Kaori Furutani, Naomi Morita, Hideki Ohtsuka, Hiromu Nishitani (Tokushima Univ.)
The purpose of this study is to determine if combination of adequate postprocessing techniques and thin section image da... [more] MBE2005-24
pp.7-9
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
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