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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, MICT | 2023-11-14 15:00 |
Fukuoka | Pre-training without natural images for Cystoscopic AI Diagnosis of Bladder Cancer Ryuunosuke Kounosu (AIST/Toho Univ.), Wonjik Kim (AIST), Atsushi Ikeda (Univ. of Tsukuba), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.)  MICT2023-34 MI2023-27 |
When developing AI models, it is sometimes difficult to collect sufficient training data. In these cases, pre-trained AI... [more] | MICT2023-34 MI2023-27 pp.37-40 |
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| MI | 2023-03-06 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92 |
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] | MI2022-92 pp.94-99 |
| MI | 2022-09-15 11:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka (Okayama Univ.), Yuho Ebata (Kyushu Univ.), Hirofumi Hasuda (NHOKMC), Shoko Miyauchi, Ota Mitsuhiko (Kyushu Univ.) MI2022-54 |
Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esop... [more] | MI2022-54 pp.26-27 |
| MI | 2022-09-15 14:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Study of Detecting Oral Disease Using Oral Images Acquired by a Dermoscope and Deep Learning Yuta Suzuki, Jun Ohya (Waseda Univ.), Toshihiro Okamoto, Nobuyuki Kaibuchi, Katsuhisa Sakaguchi, Kitaro Yoshimitsu (TWMU), Eiji Fukuzawa (Waseda U./Yazaki) MI2022-58 |
In this study, we focused on a device called a dermoscope as a simple and minimally invasive diagnostic tool instead of ... [more] | MI2022-58 pp.39-44 |
| MI | 2022-01-27 13:28 |
Online | Online | Study of Automatic Diagnosis of Early Oral Cancers Based on Fluorescence Images by 5-ALA and Deep Learning
-- Automatic Generation of Fluorescence Images Using GAN and Classification of Stages by CNN -- Taro Fujimoto (Waseda Univ.), Eiji Fukuzawa (Waseda Univ./Yazaki), Seiko Tatehara, Kazuhito Satomura (Tsurumi Univ.), Jun Ohya (Waseda Univ.) MI2021-76 |
A screening system for early-stage oral cancers should be established because detecting them is difficult even for speci... [more] | MI2021-76 pp.135-140 |
| MI | 2021-07-08 15:00 |
Online | Online | [Short Paper]
Renal tumor analysis using multi-temporal abdominal CT images Kento Nishihira, Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Atsushi ikeda (Tsukuba Univ.) MI2021-13 |
The development of multislice computed tomography CT systems has enabled highly accurate analysis, diagnosis, and treatm... [more] | MI2021-13 pp.20-22 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 13:50 |
Online | Online | Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more] | |
| 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 |
| MI | 2019-01-22 11:00 |
Okinawa | [Invited Talk]
Cell and tissue imaging generated by nanoparticles and Precision Medicine support Yasushi Nakano, Hisatake Okada, Naoko Furusawa (KonicaMinolta), Kohsuke Godna (Tohouku Univ.) MI2018-64 |
The development of new drugs, especially molecular targeted drugs in cancer therapy and introduction to the treatment si... [more] | MI2018-64 pp.25-28 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 10:00 |
Fukuoka | [Short Paper]
Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning Weibin Wang (Ritsumeikan Univ.), Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen (Zhejiang Univ.), Yutaro lwamoto, Xianhua Han, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2018-57 IBISML2018-34 |
Liver cancer is one of the leading causes of death world-wide. Computer-aided diagnosis plays an important role in liver... [more] | PRMU2018-57 IBISML2018-34 pp.139-140 |
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| MW (2nd) |
2017-06-14 - 2017-06-16 |
Overseas | KMUTT, Bangkok, Thailand | Breast Cyst Diagnosis Based on Surface Temperature Profile Krailuk Limsawan, Panuwat Janpugdee (Chulalongkorn Univ.), Fulya Kunter (Marmara Univ.) |
In this paper, the breast cyst diagnosis based on the surface temperature profile is proposed. The temperature profiles ... [more] | |
| MBE | 2016-07-30 16:50 |
Okayama | Okayama University | Bioelectrical impedance measurement device using the electrode switching circuit Hiroki Nishiwaki, Takuya Ishimoto, Masatake Akutagawa, Takahiro Emoto (Tokushima Univ.), Emiko Yasuno (NIT, Anan College), Akira Tangoku, Shinsuke Konaka, Yohsuke Kinouchi (Tokushima Univ.) MBE2016-23 |
If patient's mammary tumor is suspected breast cancer in breast cancer screening, the tumor tissue is sampled by biopsy... [more] | MBE2016-23 pp.37-40 |
| OME | 2012-12-05 14:40 |
Okinawa | Okinawa-seinen-kaikan | Gene expression analysis of cancer cells using magnetically controlled on chip system Mina Okochi (Nagoya Univ.) OME2012-78 |
Microengineering techniques such as lab-on-a-chip technologies are emerging as the next revolution in tools for high thr... [more] | OME2012-78 pp.19-22 |
| MI | 2012-01-19 14:40 |
Okinawa | [Special Talk]
Computer-aided differential diagnosis of lung cancer using three-dimensional thoracic CT images Yoshiki Kawata, Noboru Niki (Tokushima Univ) MI2011-108 |
In the recent release of positive results from the National Lung Screening Trial (NLST) screening trial in the US showin... [more] | MI2011-108 pp.171-172 |
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| MBE | 2011-10-13 13:50 |
Osaka | Osaka Electro-Communication University | A consideration of diagnosis support to pancreas cancer using data mining from blood exam Tatsunori Tanaka, Tetsuo Sato, Kotaro Minato (NAIST), Yasushi Matsumura (Osaka U Hospital) MBE2011-52 |
The purpose of this study is to extract factors correlated with pancreatic cancer and to develop a method of discriminan... [more] | MBE2011-52 pp.13-17 |
| SIS, IPSJ-AVM | 2011-09-21 10:25 |
Akita | Detection of Squamous Cancer based on Structuring Element Extracted from Intraoral Images Yusaku Nishi, Hideaki Misawa (Kyushu Inst. of Tech.), Taishi Otani, Manabu Habu (Kyushu Dental Col.), Keiichi Horio (Kyushu Inst. of Tech.), Kazuhiro Tominaga (Kyushu Dental Col.) SIS2011-22 |
Oral mucosal disease are often found by a dentist. However, dentists have less experience and knowledge of oral mucosal ... [more] | SIS2011-22 pp.7-10 |
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| PRMU, MI, IE | 2011-05-19 11:00 |
Aichi | A System for Colorectal Endoscopic Images based on NBI Magnification Findings Junki Yoshimuta, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoshito Takemura, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) IE2011-11 PRMU2011-3 MI2011-3 |
Our research objective is to classify magnified endoscopic images of colorectal tumours into 3 types (Type A, B, and C3)... [more] | IE2011-11 PRMU2011-3 MI2011-3 pp.13-18 |
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| MI | 2010-01-29 11:40 |
Okinawa | Naha-Bunka-Tenbusu | Method for lung cancer detection in PET/CT images Keita Ishimatsu, Shinsuke Saita, Yoshiki Kawata, Noboru Niki, Hideki Ohtsuka, Hiromu Nishitani (Univ. of Tokushima) MI2009-146 |
In late years becoming it advanced, and the mental change caused by a disease that discovery had difficulty with was abl... [more] | MI2009-146 pp.379-383 |
| PRMU, IE, MI | 2009-05-28 14:00 |
Gifu | Gifu Univ. | Improvement of the automated detection for architectural distortion on mammograms Yuuki Shibata (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institure Hospital) IE2009-21 PRMU2009-12 MI2009-12 |
We have been developing an automated detection method for architectural distortion that is difficult to diagnose breast ... [more] | IE2009-21 PRMU2009-12 MI2009-12 pp.65-68 |
| MI | 2009-01-19 09:40 |
Overseas | National Taiwan University | [Keynote Address]
Quantitative Image Analysis of Breast MRI Maryellen L. Giger (Univ. of Chicago) MI2008-55 |
The role of breast MRI in the management of the cancer patient is increasing. This lecture will provide an overview of ... [more] | MI2008-55 p.1 |
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