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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
16:35
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Towards Improving the Generalization Performance of a Face Texture Analysis AI System for Predicting Driver Drowsiness
Tomoya Kubo, Tomoyuki Yokogawa, Kazutami arimoto, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki University of Medical) SeMI2023-20
We are currently developing a Face Texture Analysis AI system that predicts driver drowsiness based on the overall impre... [more] SeMI2023-20
pp.94-98
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:45
Hokkaido Hokkaido Univ. Statistical Analysis on HEVC Image Quality for Contrast and Rotation Component of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem
Norifumi Kawabata (Computational Imaging Lab)
When humans perceive a 3D object, they visually check the surface of the object and evaluate the shape and condition of ... [more]
NC, MBE
(Joint)
2021-03-03
13:50
Online Online Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics
Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] NC2020-48
pp.31-36
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
15:40
Online Online Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science)
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more]
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:35
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images
Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] IMQ2019-34 IE2019-116 MVE2019-55
pp.93-96
MI 2020-01-30
15:10
Okinawa OKINAWAKEN SEINENKAIKAN Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography
Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] MI2019-120
pp.235-236
MBE, NC 2019-10-11
15:00
Miyagi   Analysis of diffuse lung disease shadows using Bolasso feature selection method
Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patte... [more]
MBE2019-33 NC2019-24
pp.23-27
NC, MBE
(Joint)
2019-03-06
16:40
Tokyo University of Electro Communications Study on data augmentation using Fourier transform for texture image classification
Daigo Nitta, Hayaru Shouno (UEC) NC2018-87
In the field of medical imaging such like computed tomography analysis, it is difficult to prepare a sufficient amount o... [more] NC2018-87
pp.233-238
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
16:30
Hokkaido Hokkaido Univ. A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more]
MI 2019-01-23
15:35
Okinawa   Investigation of relationships between image features of histological images in prostate cancer and Gleason scores
Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe (Kyushu Univ.), Kenjiro Imada (Kyushu Univ. Hosp.), Yoshinao Oda (Kyushu Univ.) MI2018-112
We aimed to investigate relationships between quantitative image features and Gleason scores that are subjectively deter... [more] MI2018-112
pp.229-232
IMQ 2018-10-19
14:40
Kyoto Kyoto Institute of Technology Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database
Norifumi Kawabata (Nagoya Univ.) IMQ2018-13
As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many stu... [more] IMQ2018-13
pp.13-18
MI 2018-09-28
15:20
Tokyo Tokyo Women's Medical University Estimation of postmortem time for CT images by using texture analysis
Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-35
The dissection rate for dead human bodies with suspicious death is about 11% in Japan. This rate is markedly lower than ... [more] MI2018-35
pp.11-15
PRMU, SP 2018-06-29
10:30
Nagano   Analysis of speech-to-texture sentiment association characteristics
Win Thuzar Kyaw, Yoshinori Sagisaka (Waseda Univ.) PRMU2018-30 SP2018-10
Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded i... [more] PRMU2018-30 SP2018-10
pp.47-52
MBE, NC
(Joint)
2017-03-13
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis
Aiga Suzuki, Hayaru Shouno (UEC) NC2016-83
Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-
cell... [more]
NC2016-83
pp.115-120
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
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-22
10:15
Hokkaido Hokkaido Univ. Estimation of Secondary Cell Performances by Analysis of Electrode Images
Ryo Kuroki, Keisuke Kameyama (Univ. Tsukuba) ITS2015-60 IE2015-102
The performance of secondary cells used by electric cars depends on the performances of their electrodes. However, the r... [more] ITS2015-60 IE2015-102
pp.23-28
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan Texture profiling for local property analysis of induced pluripotent stem cells colony
Risa Sato, Kei Sasaki (Yamagata Univ.), Risako Nagasaka (Nagoya Univ.), Siu Kang (Yamagata Univ.), Kei Kanie, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa (Yamagata Univ.) MI2015-129
The induced pluripotent stem (iPS) cells represent an aggregate characteristic appearance in a form of colony. Colonies ... [more] MI2015-129
pp.271-276
MI 2016-01-20
15:17
Okinawa Bunka Tenbusu Kan Texture analysis based image registration between pathological images and MR image
Takashi Ohnishi, Takuya Tanaka, Yuka Nakamura (Chiba Univ.), Nobuhiro Nitta, Ichio Aoki (NIRS), Hideaki Haneishi (Chiba Univ.) MI2015-142
Multi-scale analysis using several modalities of medical image has been conducted. In order to compare the features of i... [more] MI2015-142
pp.341-344
MI 2015-03-02
16:48
Okinawa Hotel Miyahira Decision of Pulmonary Areas of Thoracic CT Images by use of Anatomical Structures and Pulmonary Textures
Kyohei Karasawa, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuki Kozuka (Panasonic) MI2014-87
In order to analyze diffuse lung diseases in the thoracic CT images by computer-aided diagnosis (CAD) systems, it is nec... [more] MI2014-87
pp.157-160
US 2014-06-23
14:40
Tokyo Tokyo Metropolitan Univ. Approach for quantitative liver tissue characterization based on texture analysis considering slice resolution of ultrasonic image
Hiroshi Isono, Shinnosuke Hirata, Hiroyuki Hachiya (Tokyo Inst. of Tech.) US2014-20
As the method for quantitative liver tissue characterization, we have been focusing on texture analysis by using co-occu... [more] US2014-20
pp.19-24
 Results 1 - 20 of 44  /  [Next]  
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