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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
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
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2017-11-07
16:00
Kumamoto Kumamoto-Kenminkouryukan Parea [Invited Talk] Application of Real-time Image Recognition System with Machine and Transfer Learnings to Computer-Aided Diagnosis for Endoscopic Images of Colorectal Cancer
Tetsushi Koide, Toru Tamaki (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Medical Corp. JR Hiroshima Hospital), Shinji Tanaka (Hiroshima Univ. Hospital) CPSY2017-42
We have developed a real-time computer-aided diagnosis systems for colorectal endoscopic images using machine, transfer,... [more] CPSY2017-42
p.19
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
ICD, MW 2016-03-03
09:25
Hiroshima Hiroshima University A Visual-Word Based Feature Transformation System in Computer Aided Diagnosis for Colorectal Endoscopic Images
Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital), Shinji Tanaka (Hiroshima Univ.) MW2015-187 ICD2015-110
This paper describes a feature transformation processing in our eCAD system for colorectal endoscopic Full HD images wit... [more] MW2015-187 ICD2015-110
pp.79-84
ICD, MW 2016-03-03
09:50
Hiroshima Hiroshima University A Type Identification System Based on Support Vector Machine in Computer Aided Diagnosis for Colorectal Endoscopic Images
Takumi Okamoto, Tetsushi Koide, Tatsuya Shimizu, Koki Sugi, Anh-Tuan Hoang, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital), Shinji Tanaka (Hiroshima Univ.) MW2015-188 ICD2015-111
This paper describes a type identification processing in our eCAD system for colorectal endoscopic Full HD images with N... [more] MW2015-188 ICD2015-111
pp.85-90
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2015-12-03
09:20
Nagasaki Nagasaki Kinro Fukushi Kaikan Architecture of Bottom-up Feature Construction for Robust Computer-Aided Diagnosis System
Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Toshida, Hiroshi Mieno (Hiroshima General Hospital), Shinji Tanaka (Hiroshima Univ.) RECONF2015-56
This paper describes a feature transformation processing in our eCAD system for colorectal endoscopic Full HD images wit... [more] RECONF2015-56
pp.45-50
RECONF 2015-06-19
13:20
Kyoto Kyoto University A Classification Hardware with Hierarchical Multiple Scan Window Sizes for Colorectal Endoscopic Diagnosis
Takumi Okamoto, Tetsushi Koide, Tatsuya Shimizu, Koki Sugi, Anh-Tuan Hoang, Hikaru Satoh, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima Univ.) RECONF2015-5
With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal canc... [more] RECONF2015-5
pp.23-28
RECONF 2015-06-19
13:45
Kyoto Kyoto University Consideration for Visual Word Feature Transformation Hardware based on Bag-of-Features
Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Satoh, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima Univ.) RECONF2015-6
Recent years, the Computer-Aided Diagnosis (CAD) system which supports doctor’s diagnosis effectively in the diagnosis o... [more] RECONF2015-6
pp.29-34
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 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
MI 2012-01-20
11:25
Okinawa   Reserch on Over-detected Region Restriction by Combining SVM and CT Slice Relevance for Automatic Lacunar Infraction Detection
Kazuki Gatayama, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.), Masakazu Miyanohara (Kyo-machi Internal Diseases Cranial Clinic) MI2011-144
Although the diagnosis of cerebral infraction is important, it mainly depends on doctor’s medical knowledge and experien... [more] MI2011-144
pp.371-376
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu Automated Vessel Extraction in High-Resolution Retinal Images
Masaru Kurota, Toshiya Nakaguchi, Norimichi Tsumura, Ichiro Shimoyama (Chiba Univ.) MI2010-94
Funduscopy is widely examined for early diagnosis of arteriosclerosis because it can examines vessels directly. However,... [more] MI2010-94
pp.73-76
PRMU, HIP 2010-03-16
10:00
Kagoshima Kagoshima Univ. Research on Automatic Detection of Lacunar Infraction in Brain CT Images -- Configuration of Detection Areas by Level Set Method --
Kazuki Gatayama, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.), Masakazu Miyanohara (Kyo-machi Internal Diseases Cranial Clinic) PRMU2009-287 HIP2009-172
Although the diagnosis of cerebral infraction is important, it mainly depends on doctor's medical knowledge and experien... [more] PRMU2009-287 HIP2009-172
pp.317-322
MI 2010-01-29
16:15
Okinawa Naha-Bunka-Tenbusu The extraction of the liver using multi-slice CT image of the abdomen
Yoshifumi Kishi, Maklad Ahmed, Yoshiki Kawata, Noboru Niki, Masanori Nishioka, Mitsuo Shimada, Hiromu Nishitani (Univ. of Tokushima) MI2009-160
For the live donor liver transplant, a high preoperative plan is necessary to take out the part of the internal organs o... [more] MI2009-160
pp.453-455
MI 2007-11-16
15:30
Ishikawa Kanazawa Univ. Improvement of the method for detecting aneurysms based on measurement of cerebral vascular diameter from Magnetic Resonance Angiogram
Takuya Kusu, Masahito Aoyama (Hiroshima City Univ.), Ikuo Kawashita (Hiroshima International Univ.), Masayuki Mukunoki, Naoki Asada (Hiroshima City Univ.) MI2007-58
We proposed a method for detecting cerebral aneurysms by voting of curvature information. However, the method had a prob... [more] MI2007-58
pp.49-54
PRMU, MI 2005-05-19
16:00
Aichi Nagoya Institute of Technology Cerebral aneurysms detection based on vote and majority rule in MR angiogram
Ikuo Kawashita (Hiroshima International Univ.), Masahito Aoyama, Naoki Asada (Hiroshima City Univ.), Kazuo Awai (Kumamoto Univ.)
Magnetic resonance angiography (MRA) which is non-invasive inspection is often used as screening examinations for the de... [more] PRMU2005-9 MI2005-9
pp.49-54
 Results 1 - 19 of 19  /   
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