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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
14:12
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Anomaly Detection for Lung CT Images Using VQ-VAE with SVDD
Zhihui Gao, Ryohei Nakayama, Aikiyoshi Hizukuri (Ritsumeikan Univ.), Shoji Kido (Oosaka Univ.) MI2023-80
In this study, VQ-VAE with SVDD for anomaly detection in CT images was constructed by introducing a support vector data ... [more] MI2023-80
pp.158-159
MI 2023-03-06
10:23
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement
Yusuke Takateyama (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-78
(To be available after the conference date) [more] MI2022-78
pp.24-25
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
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 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 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 2010-01-29
15:45
Okinawa Naha-Bunka-Tenbusu Quantitative analysis of pulmonary functions by use of registration method from inspiration and expiration thoracic CT images
Yuki Watabe (Yamaguchi Univ.), Shoji Kido (YamaYamaguchi Uguchi Univ.) MI2009-157
It is known that the difference of the contraction movement appears in pulmonary diseases such as COPD and interstitial ... [more] MI2009-157
pp.437-442
MI 2008-01-25
13:00
Okinawa Naha-Bunka-Tenbusu Extraction of Pleural Effusion Regions from 3-D Thoracic CT Images
Akinori Tsunomori, Hayaru Shouno, Shoji Kido (Yamaguchi Univ.) MI2007-73
Computed tomography(CT) is used to diagnose pleural effusion.It is an effective method for follow-up to measure accumula... [more] MI2007-73
pp.57-62
 Results 1 - 11 of 11  /   
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