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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
10:22
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs
Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.) MI2023-68
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] MI2023-68
pp.117-118
MI 2024-03-04
14:48
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy
Jin Yu, Hidetaka Arimura, Takeshi Iwasaki, Takumi Kodama, Cui YunHao, Yoshinao Oda (Kyushu Uni.) MI2023-83
Radiation therapy is one of treatment options for lung cancer patients with early and late stages. Since the disease pro... [more] MI2023-83
pp.166-168
MI 2024-03-04
15:22
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Prediction of Cancer Relapse for Non-Small Cell Lung Cancer Patients Using Clinical and Imaging Features Before Stereotactic Ablative Radiotherapy
Takumi Kodama, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (Kyushu Cancer Center), Kenta Ninomiya (Sanford Burnham Prebys Med. Discov. Inst.), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (SAGA HIMAT) MI2023-85
The aim of this study is to predict locoregional relapse and distant metastasis in stage I non-small cell lung cancer pa... [more] MI2023-85
pp.173-175
MI 2023-03-06
10:10
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer -- Prognoses and prediction of HOPX expression for NSCLC based on CT image --
Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno (Kyushu Univ.), Satoshi Ansai (Kyoto Univ.) MI2022-77
The homeodomain-only protein homeobox, HOPX, has recently been discovered that associated with the prognoses of non-smal... [more] MI2022-77
pp.20-23
MI, MICT [detail] 2021-11-05
15:50
Online Online [Short Paper] Sketch-based CT image generation of lung cancers using Pix2pix -- An attempt to improve representation by adopting Style Blocks --
Ryo Toda, Atsushi Teramoto (FHU), Masakazu Tsujimoto (FHUH), Hiroshi Toyama, Masashi Kondo, Kazuyoshi Imaizumi, Kuniaki Saito (FHU), Hiroshi Fujita (Gifu Univ.) MICT2021-42 MI2021-40
Generative adversarial networks (GAN) have been used to overcome the lack of data in medical images. However, such appli... [more] MICT2021-42 MI2021-40
pp.66-67
MW, EST, EMCJ, PEM, IEE-EMC [detail] 2020-10-22
09:30
Online Online Experimental Simulation Using Plane-type of Resonant Electrodes for Estimation of Lung Cancer Position at UHF-band Frequencies
Masaya Sakamoto, Futoshi Kuroki (NIT, Kure) EMCJ2020-25 MW2020-39 EST2020-27
Malignant neoplasm (cancer) accounts for 30% of the total deaths in Japan. And the lung cancer is the most cause of the ... [more] EMCJ2020-25 MW2020-39 EST2020-27
pp.5-8
SIP, MI, IE 2019-05-24
14:00
Aichi   Analysis of deaeration deformation for ex vivo animal lung
Kotaro Kobayashi, Megumi Nakao, Junko Tokuno, Toyofumi F. Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda (Kyoto Univ.) SIP2019-12 IE2019-12 MI2019-12
Recent advance of imaging techniques enables to visualize minute lung nodules in the early stage cancer. Although lung n... [more] SIP2019-12 IE2019-12 MI2019-12
pp.53-58
MI 2019-01-23
14:00
Okinawa   [Short Paper] A Lung Cancer Risk Prediction Model based on Clinical Information and Chest CT Images Analyses
Takeru Kageyama, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Masahiko Kusumoto (National Cancer Center), Hironobu Ohmatsu (Abashiri Prison), Yoshiki Aokage, Takaaki Tsuchida, Yuji Matsumoto (National Cancer Center), Kenji Eguchi (Teikyo Univ.), Masahiro Kaneko (Tokyo Health Service Association Health Support Center) MI2018-98
Lung cancer accounts for the number of cancer deaths first, and it is on an increasing trend. Although lung cancer CT sc... [more] MI2018-98
pp.161-163
MI 2018-09-28
10:55
Tokyo Tokyo Women's Medical University Method of Calculation of Priority in Nodule Detection CAD Algorithm for CT Lung Cancer Screening
Hanae Yoshida, Masahiro Kageyama, Masahiro Ogino, Masayuki Kanai, Takashi Shirahata (Hitachi) MI2018-33
Method of Calculation of Priority in Nodule Detection CAD Algorithm for CT Lung Cancer ScreeningWe developed a priority ... [more] MI2018-33
pp.3-8
MI 2018-07-24
15:05
Iwate aiina (Morioka, Iwate) Improving Accuracy of Lung nodules Detection by Transfer Learning
Tatsuya Yamazaki, Hayato Yamakawa, Norihiko Yoshimura, Motohiko Yamazaki (Niigata Univ.) MI2018-29
In Japan, cancer is the first leading cause of death and, in particular, fatalities of lung cancer is increasing recentl... [more] MI2018-29
pp.39-43
PRMU, MI, IE, SIP 2015-05-14
- 2015-05-15
Mie   Workflow analysis of lung cancer in CT screening using CADe
Tatsuro Morimoto, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Hironobu Ohmatsu, Masahiko Kusumoto (National Cancer Center Hospital East), Takaaki Tsuchida (National Cancer Center Hospital), Kenji Eguchi (Teikyo Univ), Masahiro Kaneko (Tokyo Health Service Association) SIP2015-8 IE2015-8 PRMU2015-8 MI2015-8
Lung cancer screening uses a lot of CT images. Therefore , development of computer-aided detection (CADe) system , becom... [more] SIP2015-8 IE2015-8 PRMU2015-8 MI2015-8
pp.41-42
MI 2015-03-03
13:40
Okinawa Hotel Miyahira Workflow analysis of lung cancer in CT screening using CADe
Tatsuro Morimoto, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Hironobu Ohmatsu, Masahiko Kusumoto (National Cancer Center Hospital East), Takaaki Tsuchida (National Cancer Center Hospital), Kenji Eguchi (Teikyo Univ), Masahiro Kaneko (Tokyo Health Service Association) MI2014-108
Lung cancer screening uses a lot of CT images. Therefore , development of computer-aided detection (CADe) system , becom... [more] MI2014-108
pp.269-270
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan A method to generate lung shapes after lung lobectomy by using FEM for preoperative chest CT images
Hideki Sorao, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2013-69
In treatment for pulmonary tuberculosis or lung cancer, lung lobectomy is typically performed. It is expected that lung ... [more] MI2013-69
pp.73-76
MI 2013-11-07
16:20
Hiroshima   Mediastinal Lymph Node Detection Method Based on Radial Structure Tensor and Machine Learning
Hirohisa Oda, Xiongbiao Luo, Yukitaka Nimura, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Shingo Iwano (Nagoya Univ.), Hirotoshi Honma (Sapporo Kosei Hospital), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Masaki Mori (Sapporo Kosei Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ.) MI2013-55
In this paper, we present a method for detecting mediastinal lymph nodes from 3D chest CT volumes. Mediastinal lymph nod... [more] MI2013-55
pp.51-56
MI 2012-01-19
14:40
Okinawa   [Special Talk] Computer-aided differential diagnosis of lung cancer using three-dimensional thoracic CT images
Yoshiki Kawata, Noboru Niki (Tokushima Univ) MI2011-108
In the recent release of positive results from the National Lung Screening Trial (NLST) screening trial in the US showin... [more] MI2011-108
pp.171-172
MI 2010-01-29
11:40
Okinawa Naha-Bunka-Tenbusu Method for lung cancer detection in PET/CT images
Keita Ishimatsu, Shinsuke Saita, Yoshiki Kawata, Noboru Niki, Hideki Ohtsuka, Hiromu Nishitani (Univ. of Tokushima) MI2009-146
In late years becoming it advanced, and the mental change caused by a disease that discovery had difficulty with was abl... [more] MI2009-146
pp.379-383
MI 2009-01-19
13:30
Overseas National Taiwan University [Poster Presentation] Evolution of Lung Cancer Based on PET/CT Images
Keita Ishimatsu, Shinsuke Saita, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Hideki Ohtsuka, Hiromu Nishitani (Tokushima Univ.), Hironobu Ohmatsu (National Cancer Center), Kenji Eguchi (Teikyo Univ.), Masahiro Kaneko, Noriyuki Moriyama (National Cancer Center) MI2008-82
In late years becoming it advanced, and the mental change caused by a disease that discovery had difficulty with was abl... [more] MI2008-82
pp.105-109
MI 2009-01-20
11:40
Overseas National Taiwan University Classification of Benign/Malignant PNGGOs using K-means algorithm in MDCT Images: A Preliminary Study
Wooram Son, Sang Joon Park, Chang Min Park, Jong Hyo Kim (Seoul National Univ.) MI2008-115
Lung cancer is one of the most prevalent diseases in the world. Recently, PNGGOs (Pure nodular ground-glass opacity) hav... [more] MI2008-115
pp.257-260
MI 2008-09-17
10:35
Kyoto Shimadzu Corp. Quantitative Analysis of the resected lung using 3-D Image of the Chest
Shogo Tsumu, Shinsuke Saita, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Harumi Itoh (Fukui Univ.), Noriyuki Moriyama (National Cancer Center) MI2008-37
The development of medical device is remarkable specifically the helical type of CT device. With the conventional CT, ar... [more] MI2008-37
pp.11-14
MBE 2007-09-20
15:15
Niigata Nagaoka Univ. of Tech. A basic study of image engineering evaluation method to lungs CT affected for smoking
Masayuki Abe, Hiroshi Yokochi (NUT), Naoya Koizumi (NCC), Hiroyuki Ishikawa, Keisuke Sasai (Niigata Univ.), Ichiro Fukumoto (NUT) MBE2007-49
Respiratory Bronchiolitis (Respiratory Bronchiolitis:RB) and Respiratory Bronchiolitis associated Interstitial Lung Dise... [more] MBE2007-49
pp.19-21
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