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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 112  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
(To be available after the conference date) [more] MI2020-53
pp.25-28
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]
2018-12-07
12:30
Hiroshima Satellite Campus Hiroshima [Keynote Address] AI in medical imaging diagnosis
Hiroshi Fujita (Gifu Univ.) VLD2018-68 CPM2018-93 ICD2018-54 IE2018-72 CPSY2018-39 DC2018-54 RECONF2018-45
It is entering the third artificial intelligence (AI) boom. In particular, with the advent of "deep learning" technology... [more] VLD2018-68 CPM2018-93 ICD2018-54 IE2018-72 CPSY2018-39 DC2018-54 RECONF2018-45
p.201(VLD), p.27(CPM), p.27(ICD), p.27(IE), p.31(CPSY), p.201(DC), p.61(RECONF)
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
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
14:15
Okinawa Tenbusu Naha MI2016-92 This paper presents the improvement of the humerus recognition algorithm on a bone scintigram. Specifically, we report o... [more] MI2016-92
pp.79-80
MI 2017-01-18
14:15
Okinawa Tenbusu Naha Image analysis approach of ultrasonography for automated assessment of developmental dysplasia of the hip : preliminary study
Yongbum Lee, Akira Hasegawa (Niigata Univ.), Yasuko Minagawa (Kaetsu SoKen Center), Masaki Tsurumaki (Nakajo Cent. Hosp.), Toshiro Iga (Nakajo Cent.) MI2016-96
The purpose of this study is to develop a method for automatic assessment of infant hip dysplasia by means of ultrasonog... [more] MI2016-96
pp.93-96
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 2016-01-19
16:53
Okinawa Bunka Tenbusu Kan Similar image search of breast masses by combination of mammograms and ultrasound images -- Study of psychophysical similarity measure based on multi-dimensional scaling --
Tetsuya Takahashi, Chisako Muramatsu, Yuya Hiramatsu (Gifu Univ.), Takako Morita (Nagoya Medical Center), Takeshi Hara (Gifu Univ.), Tokiko Endo (Higashi Nagoya National Hospital), Hiroshi Fujita (Gifu Univ.) MI2015-107
In recent years, use of both mammograms and ultrasound images is recommended in breast cancer screening. Computer-aided ... [more] MI2015-107
pp.161-164
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
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
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
MI 2015-07-14
14:30
Hokkaido Sun Refle Hakodate Liver Segmentation Using Iterative Probabilistic Atlas and Template Matching Technique
Yingbo LI, Chunhua Dong, Tomoko Tateyama, Yen-Wei Chen (Ritsumeikan Univ) MI2015-34
Accurate segmentation of abdominal organs is an important step for understanding the human body anatomical structure in ... [more] MI2015-34
pp.13-17
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
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
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