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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 73  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-03
11:28
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Recognition of Tooth Types in Dental Panoramic Radiographs Containing Deciduous Teeth Using CNN-based Object Detection
Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Osaka Univ.), Ryo Takahashi, Tatsuro Hayashi (EyeTech), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2023-41
Panoramic radiographs are widely used in dentistry. However, checking each tooth and recording it in the patient's denta... [more] MI2023-41
pp.34-35
MI 2023-03-06
13:15
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] MI2022-80
pp.38-39
US 2022-09-20
13:50
Online Online Basic study of optimal training data creation conditions for computer-aided diagnosis using ultrasound images of breast tumors
Makoto Yamakawa (SIT), Miho Kanda, Moe Ohshima (Kyoto Univ.), Takeshi Namita, Tsuyoshi Shiina (SIT) US2022-39
The quality of training data is important in the development of computer-aided diagnosis (CAD) that automatically detect... [more] US2022-39
pp.10-13
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
pp.150-155
MI 2021-03-15
13:30
Online Online Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection
Hideaki Hoshino, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.) MI2020-53
In recent years, osteotomy has been used as a treatment for osteomyelitis of the jaw. However, the extent of osteomyelit... [more] MI2020-53
pp.25-28
MI 2020-01-30
15:30
Okinawa OKINAWAKEN SEINENKAIKAN Electronic bowl cleansing based on CycleGAN and its application to detection of intestinal obstruction part
Kohei Nishio, Hirohisa Oda, Kosuke Chiba (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori (Nagoya Univ.) MI2019-122
In this paper, we report a detection method of intestinal obstructions using CycleGAN electronic cleaning from CT volume... [more] MI2019-122
pp.243-248
ET 2018-06-16
13:35
Aichi Nanzan University Anomaly Detection for Pointing out Mistaken Folding in Origami
Hiroshi Shimanuki, Toyohide Watanabe (NISRI), Koichi Asakura, Hideki Sato (Daido Univ.) ET2018-13
We have developed a system that detects the location of origami paper from single camera images and supports foldings in... [more] ET2018-13
pp.7-11
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
15:00
Hokkaido Hokkaido Univ. A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information
Norifumi Kawabata, Toshiya Nakaguchi (Chiba Univ.) ITS2017-74 IE2017-106
The coded defect and degradation in the medial imaging field is each differenced for characteristics, nature, and status... [more] ITS2017-74 IE2017-106
pp.77-82
ICD, MW 2016-03-03
09:00
Hiroshima Hiroshima University A High-speed Feature Extraction System in Computer Aided Diagnosis for Colorectal Endoscopic Images
Tatsuya Shimizu, Tetsushi Koide, Anh-Tuan Hoang, Koki Sugi, Takumi Okamoto, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazuhumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima Univ.) MW2015-186 ICD2015-109
This paper aims to build a Computer-Aided Diagnosis (CAD) system for pathology identification based on feature of fine v... [more] MW2015-186 ICD2015-109
pp.73-78
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan Development of automated detection method for architectural distortion based on the medical knowledge on mammograms
Akihiro Ito (Gifu Univ.), Tomoko Matsubara (Nagoya bunri Univ.), Tsunomori Akinori (KONICA MINOLTA), Takeshi Hara, Muramatsu chisako (Gifu Univ.), Tokiko Endo (Higashi Nagoya Hospital), Fujita Hiroshi (Gifu Univ.) MI2015-120
Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. However, one of ... [more] MI2015-120
pp.229-232
MI 2016-01-20
14:38
Okinawa Bunka Tenbusu Kan Semiautomatic method for measuring alveolar bone resorption level with alveolar crest line detection by thin plate splines deformation and gradient analysis on dental panoramic radiographs
Ryo Takahashi, Chisako Muramatsu, Takeshi Hara (Gifu Univ.), Tatsuro Hayashi (Media Co., Ltd.), Tatsumasa Fukui, Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2015-139
Alveolar bone resorption is one of the most significant signs to evaluate the destruction of periodontium by periodontal... [more] MI2015-139
pp.327-330
MI 2016-01-20
15:29
Okinawa Bunka Tenbusu Kan Automatic Blumensaat's line detection method using Pseudo Lateral Radiograph for the Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction
Kento Morita, Syoji Kobashi (Univ. of Hyogo), Kaori Kashiwa, Hiroshi Nakayama, Shunichiro Kambara (Hyogo College of Medicine), Masakazu Morimoto (Univ. of Hyogo), Shinichi Yoshiya (Hyogo College of Medicine), Satoru Aikawa (Univ. of Hyogo) MI2015-143
Anterior cruciate ligament (ACL) injury causes knee joint instability, and affects on sports performance. Therefore, ACL... [more] MI2015-143
pp.345-349
PRMU, MI, IE, SIP 2014-05-22
14:40
Aichi   Computer-aided detection system of early CT signs in acute cerebral infarction
Yuzuho Yamaguchi, Takeshi Hara (Gifu Univ.), Keiji Sakashita (Senshu TCCC), Xiangrong Zhou, Chisako Muramatsu, Hiroshi Fujita (Gifu Univ.) SIP2014-3 IE2014-3 PRMU2014-3 MI2014-3
Acute cerebral infarctions (ACI) are typical fatal disorder in emergency medical care. Admission of recombinant tissue p... [more] SIP2014-3 IE2014-3 PRMU2014-3 MI2014-3
pp.9-13
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan A study on extraction accuracy improvement of texture similarity-based hepatic hemangioma extraction
Takahiro Uehara, Toshiya Nakaguchi (Chiba Univ) MI2013-70
In this paper, we conduct an accuracy evaluation of the hepatic hemangioma extraction from CT images. In the previous me... [more] MI2013-70
pp.77-82
MI 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan Improvement of CAD scheme for detection of lacunar infarcts in MR images using AdaBoost template matching
Ayaka Tanigawa (Gifu Univ.), Yoshikazu Uchiyama (Kumamoto Univ.), Chisako Muramatsu, Takeshi Hara (Gifu Univ.), Junji Shiraishi (Kumamoto Univ.), Hiroshi Fujita (Gifu Univ.) MI2013-117
Asymptomatic lacunar infarcts are often detected in MR images at the health check system for brain diseases. The existen... [more] MI2013-117
pp.323-326
MI 2013-07-19
10:00
Miyagi   A Study of a High-Accuracy Ultrasound Contrast Agent Detection Method for Diagnostic Ultrasound Imaging Systems
Koichi Ito, Kazumasa Noro, Yukari Yanagisawa, Maya Sakamoto, Shiro Mori (Tohoku Univ.), Kiyoto Shiga (Iwate Medical Univ.), Tetsuya Kodama, Takafumi Aoki (Tohoku Univ.) MI2013-31
This paper presents a high-accuracy microbubble detection method for diagnostic ultrasound imaging systems. The conventi... [more] MI2013-31
pp.61-65
MI 2013-01-24
13:10
Okinawa Bunka Tenbusu Kan Improvement of automated method for detecting architectural distortion using assessment of fibroglandular breast tissue density on mammograms
Nami Yamada (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Akinori Tsunomori (Konica Minolta MG), Takeshi Hara, Chisako Muramatsu (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ.) MI2012-79
Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. Therefore we hav... [more] MI2012-79
pp.89-94
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan Automated microaneurysms detection in retinal fundus images -- Performance evaluation using ROC Database --
Yuji Hatanaka, Tsuyoshi Inoue, Susumu Okumura (Univ. of Shiga Pref.), Chisako Muramatsu, Hiroshi Fujita (Gifu Univ.) MI2012-106
The purpose of this study is to improve the automated microaneurysms (MAs) detection in the retinal fundus images. Altho... [more] MI2012-106
pp.231-234
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan Research on Automatic Liver Region Detection from Multi-Slice Abdominal CT Images
Michio Koga, Joji Honda, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) MI2012-110
In the diagnosis of liver affection of cirrhosis and hepatocellular carcinoma,etc,
the CT Images are generally used.
... [more]
MI2012-110
pp.249-254
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan A method to detect carotid artery calcifications using morphological filter on dental panoramic radiographs
Tsuyoshi Sawagashira, Takeshi Hara (Gifu Univ), Akitoshi Katsumata (Asahi Univ), Chisako Muramatsu, Xiangrong Zhou (Gifu Univ), Yukihiro Iida, Takashi Wakisaka, Masato Matsuoka (Asahi Univ), Hiroshi Fujita (Gifu Univ) MI2012-118
The purpose of this study is to develop an automated scheme of carotid artery calcification (CAC) detection on dental pa... [more] MI2012-118
pp.293-297
 Results 1 - 20 of 73  /  [Next]  
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