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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 67 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2017-12-14
15:40
Tottori Tottori Prefectural Center for Lifelong Learning Individual Differences in Cut-out Areas of Oral Images in Oral Mucosal Disease Diagnosis Support System
Nanto Ozaki (KIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (Kyushu Dental College), Keiichi Horio (KIT) SIS2017-43
The oral mucosa disease is more likely to cause various disorders after treatment to occur in the special domain called ... [more] SIS2017-43
pp.57-62
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Clinical Decision Support System based on Co-occurrence Analysis of Disease Names -- Utilization of Clinical Big Text Data by Artificial Intelligence --
Ken Yano, Eiji Aramaki (NAIST) IBISML2017-56
Medical information such as case reports describe the systematic documentation of a patient's medical history and care a... [more] IBISML2017-56
pp.161-168
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
MI 2017-01-18
11:10
Okinawa Tenbusu Naha MI2016-75 (To be available after the conference date) [more] MI2016-75
pp.21-22
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
MI 2016-01-20
09:56
Okinawa Bunka Tenbusu Kan Automated liver segmentation from 3D MRI without parameter tuning for imaging condition
Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114
The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis.
Several p... [more]
MI2015-114
pp.199-204
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
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
IMQ 2015-09-04
14:20
Kagoshima   Association analysis between temporal color change in tongue protrusion and medical findings by large-scale image processing
Ryoji Hirano, Toshiya Nakaguchi (Chiba Univ), Mosaburou Kainuma (Kyushu Univ) IMQ2015-14
In Japanese traditional herbal medicine, there is the diagnosis method called "Tongue diagnosis" that diagnose by lookin... [more] IMQ2015-14
pp.9-14
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 2015-03-02
10:54
Okinawa Hotel Miyahira Image Feature Extraction and Construction of a Classifier for Discriminating Pulmonary Nodules in X-CT Images
Ryuta Mori, Takumi Naito, Hidekata Hontani (NIT), Shingo Iwano (Nagoya Univ.) MI2014-61
In this article, the authors report about a method for classifying pulmonary nodules in three-dimensional X-CT images an... [more] MI2014-61
pp.45-48
MI 2015-03-02
11:30
Okinawa Hotel Miyahira Information fusion for computer-aided diagnosis of liver fibrosis -- Integration of shape information into conventional blood test based diagnosis --
Yuto Masaki, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama, Yoshinobu Sato (NAIST) MI2014-64
Liver biopsy currently used for a definitive diagnosis of liver fibrosis is invasive and causes inconvenience to the pat... [more] MI2014-64
pp.59-62
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
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2014-11-26
17:05
Oita B-ConPlaza Visual-Word Feature Transformation Architecture for Computer-Aided Diagnosis using Colorectal Endoscopic Images with NBI Magnification
Koki Sugi, Tetsushi Koide, Anh-Tuan Hoang, Takumi Okamoto, Tatsuya Shimizu, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) VLD2014-77 DC2014-31
With the increase of colorectal cancer patients in recent years, the computer-aided diagnosis (CAD) system which support... [more] VLD2014-77 DC2014-31
pp.33-38
CPSY 2014-11-13
12:55
Hiroshima Hiroshima University Consideration for Acceleration of Feature Transformation based on the Bag-of-Features for Colorectal Endoscopic Images
Koki Sugi, Tetsushi Koide, Anh-Tuan Hoang, Takumi Okamoto, Tatsuya Shimizu, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2014-55
With the increase of colorectal cancer patients in recent years, the computer-aided diagnosis (CAD) system which support... [more] CPSY2014-55
pp.7-12
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-09
10:10
Hokkaido Hokkaido University Consideration of Effect of Resolution in Classification of Intraoral Images
Shinya Motoki (Kyushu Inst. of Tech.), Kentaro Saito, Manabu Habu (Kyushu Dental College), Keiichi Horio (Kyushu Inst. of Tech.), Kazuhiro Tominaga (Kyushu Dental College) CAS2014-3 VLD2014-12 SIP2014-24 MSS2014-3 SIS2014-3
The oral mucosa disease is more likely to cause various disorders after treatment to occur in the special domain called ... [more] CAS2014-3 VLD2014-12 SIP2014-24 MSS2014-3 SIS2014-3
pp.13-16
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