| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| 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] | 2022-05-19 14:30 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Detection of Mutation of Driver Gene from Thoracic CT Images Based on Machine Learning Shion Watanabe, Tohru Kamiya (KIT), Takashi Terasawa, Takatoshi Aoki (UOEH) SIP2022-11 BioX2022-11 IE2022-11 MI2022-11 |
(To be available after the conference date) [more] | SIP2022-11 BioX2022-11 IE2022-11 MI2022-11 pp.61-66 |
| 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 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 14:15 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Detection of Mutation of Driver Gene Information from Thoracic CT Images Based on Deep Radiomics Yuta Yoshifuku (KIT), Takashi Terasawa (UOEH), Huimin Lu, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH) IMQ2019-22 IE2019-104 MVE2019-43 |
(To be available after the conference date) [more] | IMQ2019-22 IE2019-104 MVE2019-43 pp.35-39 |
| MI | 2020-01-29 09:55 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Automated dection for neck and thoracic lesions on FDG-PET/CT by lesion enhancement using one-class SVM Atsuko Tanaka, Mitsutaka Memoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Kazuyuki Ushifusa (Kindai Uni), Kohei Hanaoka (Kindai Uni Hosp), Kazuhiro Kitajima (Hyogo Col of Med), Tatsuya Tsuchitani (Hosp of Hyogo Col of Med), Kazunari Ishii (Kindai Uni) MI2019-67 |
We propose an anomaly detection based method to detect primary and metastatic lesions in the cervical and thoracic regio... [more] | MI2019-67 pp.11-14 |
| 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 |
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2016-08-08 13:30 |
Fukuoka | Kazuki Hirayama, Joo Kooi Tan, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH), Shoji Kido (YU) IE2016-47 |
Recently, the development of CAD (Computer Aided Diagnosis) system for the purpose of reducing the burden to the physici... [more] | IE2016-47 pp.17-20 |
|
| 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 |
| MI | 2015-03-03 13:40 |
Okinawa | Hotel Miyahira | A Study on Lesion Detection from Breast Ultrasound Images Based on Difference of Texture Change between Adjacent Regions Yudai Yamazaki (Univ. of Tsukuba), Masaya Iwata, Hirokazu Nosato, Eiichi Takahashi, Hidenori Sakanashi (AIST) MI2014-111 |
In this paper, we propose a novel lesion detection method for breast ultrasound images. In breast ultrasound images, t... [more] |
MI2014-111 pp.283-288 |
| 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 | 2014-01-26 13:30 |
Okinawa | Bunka Tenbusu Kan | An Improvement of Automated Lymph Node Detection Method from 3D Abdominal X-ray CT Images using Feature Selection Method Yoshihiko Nakamura (Nagoya Univ.), Takayuki Kitasaka, Shinji Mizuno (Aichi Inst. of Tech.), Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Masaaki Ito (National Cancer Center Hospital East), Shigeru Nawano (IUHW Mita Hospital), Kensaku Mori (Nagoya Univ.) MI2013-72 |
We have been developing automatical abdominal lymph node detection methods to aid pre-operating diagnosis for surgery of... [more] | MI2013-72 pp.85-90 |
[Return to Top Page]