Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-04 10:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of lung nodules in CT using an ensemble of multiple MTANN Kentaro Someya, Shogo Kodera, Hiroko Oshibe, Jin Ze, Kenji Suzuki (Tokyo Tech) MI2023-67 |
It is challenging to accurately and robustly segment ground-glass opacity (GGO) nodules. In this study, we propose an ac... [more] |
MI2023-67 pp.113-116 |
MI |
2021-03-16 13:30 |
Online |
Online |
Effect of Improving Versatility of Lung Nodules Classification Model by Fine-Tuning Taku Ri, Tatsuya Yamazaki (Niigata Univ.) MI2020-72 |
In order to improve the survival rate of lung cancer patients, it is important to detect nodules at an early stage, but ... [more] |
MI2020-72 pp.102-107 |
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 |
PRMU |
2019-10-19 10:45 |
Tokyo |
|
Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44 |
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] |
PRMU2019-44 pp.67-72 |
MI |
2019-01-22 15:35 |
Okinawa |
|
Segmentation of lung nodules on 3D CT images by using DeconvNet and V-Net Shunsuke Kidera, Shoji Kido, Yasushi Hirano (Yamaguchi Univ.), Nobuyuki Tanaka (Saiseikai Hosp) MI2018-85 |
Semantic segmentation of lung nodules is important for texture analysis. However, manual segmentation needs a lot of tim... [more] |
MI2018-85 pp.103-106 |
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 |
2018-07-24 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 |
MI |
2015-03-02 10:54 |
Okinawa |
Hotel Miyahira |
Image Feature Extraction and Construction of a Classifier for Discriminating Pulmonary Nodules in X-CT Images Ryuta Mori, Takumi Naito, Hidekata Hontani (NIT), Shingo Iwano (Nagoya Univ.) MI2014-61 |
In this article, the authors report about a method for classifying pulmonary nodules in three-dimensional X-CT images an... [more] |
MI2014-61 pp.45-48 |
MI |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Computerized scheme for determination of the likelihood of malignancy of pulmonary nodules on HRCT and PET scans Yuichiro Takaki, Masahito Aoyama (Hiroshima City Univ.), Daisuke Komoto, Toru Higaki (Hiroshima Univ.), Shinsaku Hiura (Hiroshima City Univ.), Kazuo Awai (Hiroshima Univ.) MI2013-77 |
We evaluated the performance of our automated computerized scheme for determining the likelihood of malignancy of pulmon... [more] |
MI2013-77 pp.115-120 |
R |
2013-11-14 14:50 |
Osaka |
|
Effect of Plate-Shape Ni-Sn IMC on the Growth Mechanism of Tin Whisker under Thermal Shock Stress Akira Saito, Akira Okamoto, Yoshihiro Iwahori, Makoto Ogawa (Mutrata MFG), Akihiro Motoki (Sabae Mutrata MFG) R2013-76 |
With the promotion of lead-free solder in these years, some segments have expressed concern about the possibility of tin... [more] |
R2013-76 pp.11-16 |
PRMU |
2013-03-15 10:45 |
Tokyo |
|
Performance Comparison of Appearance-based Pulmonary Nodule Detection from X-ray CT Images Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) PRMU2012-212 |
In this paper, we propose appearance-based clustering methods of false positives in X-ray CT images based on K-means, Me... [more] |
PRMU2012-212 pp.193-197 |
MI |
2013-01-25 11:30 |
Okinawa |
Bunka Tenbusu Kan |
[Special Talk]
Development of "SYNAPSE Case Match", content-based image retrieval system for supporting lung Cancer diagnosis Akira Oosawa (Fujifilm) MI2012-101 |
We developed “SYNAPSE Case Match”, content-based image retrieval system for supporting Lung Cancer diagnosis, in collabo... [more] |
MI2012-101 pp.207-209 |
MI |
2013-01-25 13:10 |
Okinawa |
Bunka Tenbusu Kan |
A pilot study of lung voxel classification for auto-detecting ground glass opacity nodules in chest CT images Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. Tokyo) MI2012-109 |
In this study, we examine various voxel classification methods for auto-extracting ground glass opacity (GGO) nodule can... [more] |
MI2012-109 pp.245-248 |
MI |
2012-01-19 11:20 |
Okinawa |
|
Automatic segmentation of pulmonary nodules on CT images considering visual characteristics Hideki Tamura, Rie Tachibana (Oshima NCMT), Yasushi Hirano, Rui Xu, Shoji Kido (Yamaguchi Univ.) MI2011-106 |
Radiologists recognize pulmonary nodules on CT images with graphical information from the visual sense. So, in this pape... [more] |
MI2011-106 pp.159-163 |
MI |
2012-01-20 09:30 |
Okinawa |
|
Evaluation of Temporal Subtraction Images of Chest Radiographs by Using Pixel Matching Technique Aiko Sugimoto (Kumamoto Univ.), Noritaka Higashi (Japan Red Cross Kumamoto Personnel Health Manage), Yoshikazu Uchiyama, Shigehiko Katsuragawa, Junji Shiraishi (Kumamoto Univ.) MI2011-117 |
We have developed a pixel matching technique in order to reduce artifact in temporal subtraction images of sequential ch... [more] |
MI2011-117 pp.221-225 |
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 |
MI |
2011-07-12 10:30 |
Hokkaido |
Hokkaido University |
Investigation of fundamental techniques for autonomous computer-aided diagnosis system Yongbum Lee, Du-Yih Tsai, Yuriko Yoshida (Niigata Univ.) MI2011-33 |
A novel application of computer-aided diagnosis (CAD), namely autonomous CAD, was proposed in this study. Autonomous CAD... [more] |
MI2011-33 pp.7-10 |
MI |
2011-01-20 11:30 |
Okinawa |
Naha-Bunka-Tembusu |
[Poster Presentation]
Detection of Lung Nodules in Chest Radiographs based on Hessian Filter Bank Tatsuya Nakamura, Yoshikazu Uchiyama (Oita NCT), Takeshi Hara, Hiroshi Fujita (Gifu Univ) MI2010-100 |
Radiologists can fail to detect approximately 30% of lung nodules on chest radiograph. Therefore, in order to assist rad... [more] |
MI2010-100 pp.101-104 |
MI |
2010-01-29 11:40 |
Okinawa |
Naha-Bunka-Tenbusu |
Automatic classification method of Solid and Ground Glass Opacity in Chest X-ray CT Images Takuya Tomida, Takeshi Hara, Xiangrong Zhou, Tatsuro Hayashi, Chisako Muramatsu, Hiroshi Fujita (Gifu Univ.) MI2009-150 |
(To be available after the conference date) [more] |
MI2009-150 pp.397-400 |