Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2022-07-09 10:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Non-rigid registration method for longitudinal chest CT images in Covid-19 Yuma Iwao (QST), Naoko Kawata, Yuki Segiguchi, Hideaki Haneishi (Chiba Univ) MI2022-41 |
In time series analysis of the lungs, a non-rigid registration method that compensates for differences in respiratory st... [more] |
MI2022-41 pp.34-38 |
MI |
2022-07-09 10:50 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Development of a prognosis prediction for Covid-19 using deep learning Yuma Iwao (QST), Naoko Kawata, Yuki Sekiguchi, Hideaki Haneishi (Chiba Univ) MI2022-42 |
Many studies have been reported on the prediction of COVID-19 severity using deep learning. However, most of them predic... [more] |
MI2022-42 pp.39-41 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:20 |
Online |
Online (Zoom) |
Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki (SIT) IMQ2021-11 IE2021-73 MVE2021-40 |
Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields... [more] |
IMQ2021-11 IE2021-73 MVE2021-40 pp.7-12 |
MI |
2022-01-26 10:13 |
Online |
Online |
[Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] |
MI2021-53 pp.41-42 |
MI |
2021-03-16 13:15 |
Online |
Online |
[Short Paper]
Feature extraction using AutoEncorder from nodular shadows on chest CT images Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71 |
Lung cancer mortality in men is 86.7% in 2018. If the benign and malignant lung cancer and the growth rate of nodules ca... [more] |
MI2020-71 pp.99-101 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 11:10 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning Takahiro Dozono, Yuichiro Yoshimura, Kumiko Arai, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-33 IE2019-115 MVE2019-54 |
Portable radiographs are used to monitor critically ill patients in intensive care units who have difficulty moving. How... [more] |
IMQ2019-33 IE2019-115 MVE2019-54 pp.89-92 |
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 |
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 15:20 |
Tokyo |
Tokyo Women's Medical University |
Estimation of postmortem time for CT images by using texture analysis Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-35 |
The dissection rate for dead human bodies with suspicious death is about 11% in Japan. This rate is markedly lower than ... [more] |
MI2018-35 pp.11-15 |
MI |
2015-03-02 10:30 |
Okinawa |
Hotel Miyahira |
Development of computer-aided diagnosis system for cardiopulmonary disease using CT chest images Kazuya Abe, Hideya Takeo (KAIT), Yoshifumi Kuroki (TCC), Yuuichi Nagai (NCC) MI2014-59 |
Here we describe the detection or the volume measurement that paid attention to plural diseases (cardiomegaly, pleural f... [more] |
MI2014-59 pp.35-40 |
MI |
2015-03-02 10:42 |
Okinawa |
Hotel Miyahira |
Left-right skeletal comparison method using chest CT images for measuring the volume of rib primary bone tumors Ryo Kobayashi, Hideya Takeo (KAIT), Yuuichi Nagai (NCC) MI2014-60 |
Focusing on rib primary bone tumors, this article describes a method that exploits rib symmetry to separately calculate ... [more] |
MI2014-60 pp.41-44 |
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 |
2014-01-26 14:25 |
Okinawa |
Bunka Tenbusu Kan |
[Special Talk]
Development of similar case retrieval technology for supporting medical image diagnosis and education of various lung diseases Kazuki Kozuka, Kazutoyo Takata, Kenji Kondo, Masaki Kiyono (Panasonic), Masato Tanaka, Toyohiko Sakai, Hirohiko Kimura (Univ. of Fukui) MI2013-81 |
In this paper, we propose a new CBIR(Content-based Image Retrieval) system that can retrieve similar cases include “diff... [more] |
MI2013-81 pp.139-142 |
PRMU |
2013-06-10 13:00 |
Tokyo |
|
Detection of Lung nodules on temporal subtraction based on non-rigid image registration and development of software for image viewer Yuriko Ikeda (Yoshikawa Kogyo), Takumi Tokisa, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa (KIT) PRMU2013-19 |
A temporal subtraction technique that is subtracted from previous image to current one is introduced as powerful tools i... [more] |
PRMU2013-19 pp.1-4 |
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 |
2012-10-29 09:45 |
Yamaguchi |
Yamaguchi Univ. |
A Temporal Subtraction Technique for 3-D Non-rigid Warping Method Based on Free Form Deformation from Thoracic MDCT Image Takumi Tokisa, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa (kyutech), Seiichi Murakami (kyutech/UOEH), Takatoshi Aoki (UOEH), Yasushi Hirano, Shoji Kido (Yamaguchi Univ), Rie Tachibana (OCMT) MI2012-49 |
A temporal subtraction technique that is subtracted from previous image to current one is introduced as powerful tools i... [more] |
MI2012-49 pp.11-16 |
MI |
2012-09-04 10:45 |
Tokyo |
Univ. of Tokyo |
Automated detection of lymph nodes from two-phase 3D chest CT images Takayuki Kitasaka (AIT), Mitsuhiro Kishimoto, Yukitaka Nimura, Masahiro Oda, Shingo Iwano, Kensaku Mori (Nagoya Univ.) MI2012-41 |
This paper presents a method for automated extraction of lymph nodes from 3D contrasted chest CTimages taken in artery- ... [more] |
MI2012-41 pp.13-18 |
PRMU, SP |
2012-02-10 17:00 |
Miyagi |
|
A study on automated extraction of lymph nodes from two-phase 3D contrasted chest CT images Mitsuhiro Kishimoto, Yukitaka Nimura, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Shingo Iwano, Kensaku Mori (Nagoya Univ.) PRMU2011-237 SP2011-152 |
In this paper, we present a method for automated extraction of lymph nodes from 3D contrasted chest CT images taken in e... [more] |
PRMU2011-237 SP2011-152 pp.237-242 |