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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2020-09-03 11:30 |
Online | Online | [Short Paper]
Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.)  MI2020-25 |
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] | MI2020-25 pp.35-38 |
| MI | 2016-07-26 10:30 |
Hokkaido | Tomakomai Civic Hall | Automatic blood vessel-based liver segmentation through the portal phase CT Ahmed Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Tokushima University), Gen Iinuma (National cancer center hospital) MI2016-41 |
Blood vessel (BV) has showed high performance at liver segmentation achieving rank 1 on sliver07. This method was semi-a... [more] | MI2016-41 pp.29-34 |
| 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 |
| PRMU, MI, IE, SIP | 2015-05-15 14:30 |
Mie | Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Mitsuo Satake (National Cancer Center Hospital East), Noriyuki Moriyama (Tokyo Midtown Clinic), Toru Utsunomiya, Mitsuo Shimada (Tokushima Univ.) SIP2015-24 IE2015-24 PRMU2015-24 MI2015-24 |
Blood vessel has showed high performance at liver segmentation (rank 1 on the official website for liver segmentation). ... [more] | SIP2015-24 IE2015-24 PRMU2015-24 MI2015-24 pp.127-132 |
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| MI | 2014-09-02 14:40 |
Tokyo | The Institute of Statistical Mathematics | Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Univ. of Tokushima) MI2014-40 |
Blood vessel (BV) based liver segmentation has showed high performance [1] achieving rank 1 on sliver07 (the official we... [more] | MI2014-40 pp.27-31 |
| MI | 2014-01-26 13:30 |
Okinawa | Bunka Tenbusu Kan | Automatic segmentation of multiple organ regions from 3D CT images using GrabCut and organ detection Takaaki Ito, Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Huayue Chen (Gifu Univ.), Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-61 |
Automatic segmentation of organs from CT images is one of very important issues in developing. GraphCut is useful for th... [more] | MI2013-61 pp.31-36 |
| MI | 2013-11-07 14:50 |
Hiroshima | Liver Segmentation from 3D CT Images using Superpixel Keisuke Hayata, Jun Ohmiya, Satoshi Kondo (Panasonic Healthcare), Tsuyoshi Kouyama, Tomoaki Takemura (Panasonic Medical Solutions) MI2013-52 |
This paper describes an algorithm of liver region segmentation from CT images using the region-growing algorithm and SLI... [more] | MI2013-52 pp.33-38 |
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| MI | 2013-01-25 13:10 |
Okinawa | Bunka Tenbusu Kan | Research on Automatic Liver Region Detection from Multi-Slice Abdominal CT Images Michio Koga, Joji Honda, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) MI2012-110 |
In the diagnosis of liver affection of cirrhosis and hepatocellular carcinoma,etc, the CT Images are generally used. ... [more] |
MI2012-110 pp.249-254 |
| MI | 2012-01-20 11:25 |
Okinawa | Detection of the liver hemangioma from 3D abdominal CT images by using local intensity features and multi-class classifier Yoshitaka Sakamoto, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Shigeru Nawano (IHW), Kensaku Mori (Nagoya Univ) MI2011-146 |
In this paper, we propose a method for detecting hemangioma from four-phases contrasted 3D abdominal CT images. In our ... [more] |
MI2011-146 pp.383-388 |
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| MI | 2011-07-13 11:00 |
Hokkaido | Hokkaido University | Extraction of Liver Volumetry based on Blood Vessel Anatomy from Portal Phase CT Dataset Ahmed S. Maklad, Mikio Matsuhiro, Hidenori Suzuki, Yoshiki Kawata, Noboru Niki, Toru Utsunomiya, Mitsuo Shimada (Univ. of Tokushima) MI2011-43 |
At liver surgery planning stage, extraction of liver volumetry would be helpful for surgeons. Main problem at liver extr... [more] | MI2011-43 pp.55-59 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-20 09:50 |
Shiga | 3D Visualization of Liver and Its Vascular Structures and Surgical Planning System Tomoko Tateyama, Tsukasa Shindo (Ritsumeikan-univ), Amir Hossein Foruzan (Univ. of Tehran), Shinya Kohara, Motoi Kinishi, Chen-Lun Lin, Yu Masuda (Ritsumeikan-univ), Masaki Kaibori, Masanori Kon (Kansai Medical Univ.), Yen-Wei Chen (Ritsumeikan-univ) PRMU2010-155 MVE2010-80 |
Computer Assisted Diagnosis/Surgery systems provide an indisputable effect on the diagnosis and surgery of hepatic dise... [more] |
PRMU2010-155 MVE2010-80 pp.33-38 |
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| MI | 2011-01-20 11:30 |
Okinawa | Naha-Bunka-Tembusu | Development of Liver Vessel Registration Method for Comparative Reading of Liver CT Images Teruhiko Kinoshita, Shota Kimura, Junichi Hasegawa (Chukyo Univ), Kenji Shinozaki (Kyushu Cancer Center), Shigeru Nawano (IUHW) MI2010-104 |
In this paper, a method for image registration for comparative reading of liver CT images is presented. One of importa... [more] |
MI2010-104 pp.121-125 |
| MI | 2010-01-29 15:55 |
Okinawa | Naha-Bunka-Tenbusu | Liver Segmentation based on Shape Constrained Energy Minimization by a GraphCut Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (Tokyo Univ. of Agr and Tech.), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-158 |
This paper proposes a liver segmentation from a non-contrast 3D CT volume based on shape constrained energy minimization... [more] | MI2009-158 pp.443-446 |
| MI | 2009-07-15 16:10 |
Tokyo | AIST Tokyo waterfront annex 11F meeting room #1 | Liver segmentation algorithm based on extraction of main portal and hepatic veins from multislice CT images Ahmed S. Maklad, Yoshifumi Kishi, Yoshiki Kawata, Noboru Niki, Masanori Nishioka, Mitsuo Shimada (Univ. of Tokushima) MI2009-51 |
The major problem confronting surgeons during hepatic resection, both in the past and today, has been hemorrhage control... [more] | MI2009-51 pp.63-68 |
| MI | 2009-07-15 17:20 |
Tokyo | AIST Tokyo waterfront annex 11F meeting room #1 | Metastatic Liver Tumor Segmentation from Plain and Contrast Enhanced Computed Tomography Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-54 |
This paper presents an automated metastatic liver tumor segmentation process from plane and portal venous CT volumes. Fi... [more] | MI2009-54 pp.79-84 |
| MI | 2009-01-19 13:30 |
Overseas | National Taiwan University | [Poster Presentation]
An extraction process of metastatic liver tumors in contrast enhanced CT images learned by a boosting algorithm Takuya Narihira, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2008-97 |
Since metastatic liver tumors in contrast enhanced CT images have wide variations in characteristics of CT values and lo... [more] | MI2008-97 pp.175-180 |
| PRMU, IE, MI | 2008-05-23 11:30 |
Aichi | Aichi University of Technology | Liver Segmentation Method for 3D Non-contrast Abdominal CT Image based on the Region Growing and the Probabilistic Atlas Koji Satake, Yoshio Yamaji, Satoshi Yamaguchi, Hiromi T. Tanaka (Ritsumeikan Univ.) IE2008-29 PRMU2008-15 MI2008-15 |
In this research we describe a liver segmentation method for 3D Non-contrast abdominal CT image. In the liver region, in... [more] | IE2008-29 PRMU2008-15 MI2008-15 pp.81-86 |
| MI | 2008-01-25 11:30 |
Okinawa | Naha-Bunka-Tenbusu | A Rule Based Technique for Liver Segmentation in CT Data Amir H. Foruzan, Reza A. Zoroofi (Univ. of Tehran), Yoshinobu Sato, Masatoshi Hori (Osaka Univ.) MI2007-71 |
Segmentation is a major step in liver image analysis and may help clinician to quantify the progression of liver disease... [more] | MI2007-71 pp.47-54 |
| MI | 2008-01-25 13:00 |
Okinawa | Naha-Bunka-Tenbusu | Liver Segmentation in 3D Abdominal CT Images Based on Maximum a Posterior Probability Method and Ensemble Learning Shinya Tanaka, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake (TUAT), Shigeru Nawano (Center for Radiological Sciences, IUHW), Kenji Shinozaki (NKCC) MI2007-88 |
This paper describes improvements of the liver region segmentation algorithm using three phase abdominal 3D CT images , ... [more] | MI2007-88 pp.123-130 |
| MI | 2007-01-27 11:10 |
Overseas | the Cheju National Univ. | An atlas-driven approach for automated recognition of liver structure in non-contrasted torso CT images Xiangrong Zhou, Teruhiko Kitagawa, Suguru Kawajiri, Xuejun Zhang, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) |
In this paper, we propose an atlas-driven approach for fully-automated segmentation of liver region in non-contrast x-ra... [more] | MI2006-178 pp.81-82 |
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