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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2024-03-14 15:10 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Diagnosis Support System for Oral Mucosal Diseases Development Which Using Tendency of User's Select a Diseases Area Taiyo Sato (NIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (KDU), Keiichi Horio (Kyutech), Nanto Ozaki (NIT)  SIS2023-51 |
The Diagnosis Support System for Oral Mucosal Diseases is a system designed to assist dentists. The input to the system ... [more] | SIS2023-51 pp.33-38 |
| MI | 2024-03-03 11:04 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2023-39 |
(To be available after the conference date) [more] | MI2023-39 pp.30-31 |
| MI | 2024-03-03 11:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Weak supervised chest lesion detection on FDG-PET/CT Images using Pix2Pix image modality translation Kazuki Otani, Kohei Yoshida, Mitsutaka Nemoto (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tsuchitani Tatsuya, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-42 |
In this study, we propose a method for detecting thoracic lesions on PET/CT images using 3D Pix2Pix, which learns a tran... [more] | MI2023-42 pp.36-38 |
| MI, MICT | 2023-11-14 13:20 |
Fukuoka | Medical image diagnosis support system with image anonymization based on deep learning techniques Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23 |
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] | MICT2023-30 MI2023-23 pp.21-24 |
|
| MI | 2023-03-06 09:18 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73 |
The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which ... [more] | MI2022-73 pp.3-4 |
| 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 |
| MI | 2023-03-07 09:35 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Performance analysis of a hot-spot detection support system of bone scintigrams by post-market training Kaho Shimada (TUAT), Hiromitsu Daisaki (GCHS), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT) MI2022-106 |
(To be available after the conference date) [more] | MI2022-106 pp.139-140 |
| MICT, MI | 2022-11-18 13:00 |
Aichi | Nagoya Institute of Technology | [Invited Talk]
Transition of medical image processing research towards Society 5.0 Kunihiro Chihara (Jikei Univ. of Health Care Sci.) MICT2022-37 MI2022-66 |
When the world began to shift to an information society, research into automatic diagnosis using computers began in the ... [more] | MICT2022-37 MI2022-66 pp.18-23 |
| 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 |
| MI | 2022-01-26 11:31 |
Online | Online | Investigation of post implementation training for medical image reading support systems Chisako Muramatsu (Shiga Univ), Mizuho Nishio (Kobe Univ), Masahiro Yakami (Kyoto Univ), Takeshi Kubo (Tenri Hospital), Mikinao Ooiwa (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2021-58 |
It is desirable to have robust image interpretation support systems that can obtain the equivalent accuracy for images a... [more] | MI2021-58 pp.55-58 |
| MI | 2022-01-27 16:26 |
Online | Online | MI2021-88 |
(To be available after the conference date) [more] | MI2021-88 pp.188-189 |
| US | 2021-09-24 13:30 |
Online | Online | Study of the Remote Support System for Fetal Health Conditions Using AI
-- Study of the Method to Evaluate for Fetal Health Conditions Using Multi-variable and Multi-order Markov Chain Probability -- Chikahiro Araki, Chiyo Tamamura, Makoto Orisaka, Yoshio Yoshida, Miko Mori, Tatuya Asa (Univ. of Fukui) US2021-34 |
This paper describes the method to build a support system for obstetricians to determine the appropriate timing for preg... [more] | US2021-34 pp.1-6 |
| MI | 2021-03-15 11:00 |
Online | Online | Improvement of a skeletal recognition algorithm of bone scintigrams Yuri Hoshino, Atsushi Saito (TUAT), Atsushi Yoshida, Shigeaki Higashiyama, Joji Kwabe (Osaka City Univ), Hiromitsu Daisaki (GCHS), Kazuhiro Nishikawa (NMP), Akinobu Shimizu (TUAT) MI2020-47 |
In this paper, we report the results of our work on skeletal recognition processing on bone scintigram. Specifically, we... [more] | MI2020-47 pp.1-2 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Short Paper]
Improvement of a bone metastasis detection algorithm in a bone scintigram Hayato Wakabayashi, Atsushi Saito (TAT), Shigeaki Higashiyama, Joji Kawabe (Osaka City Univ.), Akinobu Shimizu (TAT) MI2019-110 |
(To be available after the conference date) [more] | MI2019-110 pp.195-196 |
| IMQ | 2019-10-04 14:50 |
Osaka | Osaka University | Supporting Colonoscope System for Diagnosis of Depth of Invasion Using Deep Learning and Its Visualization Nao Ito, Toshiya Nakaguchi (Chiba Univ.), Hiroshi Kawahira (Jichi Medical Univ.), Yuichiro Yoshimura (Chiba Univ.), Hirotaka Nakashima (Kayabacho Clinic), Masaya Uesato, Gaku Ohira, Hideaki Miyauchi, Hisahiro Matsubara (Chiba Univ.) IMQ2019-8 |
Colorectal cancer has a high morbidity and is the second most common cancer death in Japan, and is required to be detect... [more] | IMQ2019-8 pp.19-26 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 14:25 |
Okayama | Mixed Domain Learning for Computer-aided Diagnosis of Endoscopy Images in Deep Convolutional Neural Networks Yuta Kochi (Tsukuba Univ./AIST), Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi (AIST) PRMU2019-30 MI2019-49 |
(To be available after the conference date) [more] | PRMU2019-30 MI2019-49 pp.135-138 |
|
| MI | 2019-01-22 14:20 |
Okinawa | Consideration of Influence of Identification Result which occur Individual Difference of Manual Cutting for Disease part of Oral Image in Oral Mucosal Disease Diagnosis Support System Nanto Ozaki (KIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (KDC), Keiichi Horio (KIT) MI2018-80 |
Oral mucosa disease is more likely to cause various disorders after treatment to occur in the special domain called the ... [more] | MI2018-80 pp.81-86 |
|
| ET | 2018-12-08 14:05 |
Niigata | Nagaoka University of Technology | Design of a Relation Model of Pattern Using the DEMATEL Method in Chinese Medicine Information Igarashi aya, Takahashi Koichi, Rikitake Yoshiaki, Hayakawa Yoshihiro (NIT, Sendai College), Seki Takashi (Tohoku Univ.), Takahashi Akiko (NIT, Sendai College) ET2018-72 |
There are few opportunities for learners of Chinese medicine including physicians to receive systematic education in Jap... [more] | ET2018-72 pp.33-36 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-05 10:20 |
Hiroshima | Satellite Campus Hiroshima | Prototyping of Real-time Computer-Aided Diagnosis System for Colorectal Endoscopic Movies and Images with Machine Learning Takumi Okamoto, Masayuki Odagawa, Koujiroh Takebayashi, Mikihisa Nagano, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (JR Hiroshima Hospital), Shinji Tanaka (Hiroshima Univ.), Takayuki Sugawara, Hiroshi Toishi, Masayuki Tsuji, Nobuo Tamba (Cadence, Japan) VLD2018-42 DC2018-28 |
In this paper, we discuss prototyping of real-time computer-aided diagnosis (CAD) system for colorectal endoscopic movie... [more] | VLD2018-42 DC2018-28 pp.13-18 |
| MICT, MI | 2018-11-06 18:20 |
Hyogo | University of Hyogo | Computer-aided Diagnosis for Cystoscopy Images based on Knowledge Transfer from Gastroscopic Diagnosis in Deep Convolutional Neural Networks Hirokazu Nosato, Yuta Kochi, Masahiro Murakawa, Hidenori Sakanashi (AIST), Atsushi Ikeda (Tsukuba Univ.), Tomohiro Tada (Tada Tomohiro Institute of Gastroenterology and Proctology/AIM), Hiroyuki Nishiyama (Tsukuba Univ.) MICT2018-58 MI2018-58 |
(To be available after the conference date) [more] | MICT2018-58 MI2018-58 pp.83-88 |
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