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Technical Committee on Medical Imaging (MI) (Searched in: 2018)
Search Results: Keywords 'from:2019-01-22 to:2019-01-22'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2019-01-23 14:00 |
Okinawa | Efficient Visualization Method of Tube Diameter Based on Center Coordinates and its History Mitsuru Ueda (Okayama Prefectural Univ.), Masafumi Kondo, Isao Kayano (Kawasaki Univ. of Medical Welfare), Yoshihiro Sejima, Yoichiro Sato (Okayama Prefectural Univ.), Yuusaku Sugihara, Kazuyuki Matsumoto (Okayama Univ. Hospital)  MI2018-99 |
For diagnosis of tubular tissues such as digestive system, it is important to measure tube diameter. We have developed a... [more] | MI2018-99 pp.165-168 |
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| MI | 2019-01-23 14:00 |
Okinawa | [Short Paper]
Analysis of regional lymph node in rectal cancer with 3-phase abdominal contrast CT image Ren Nishimoto, Keisuke Bando, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Gen Iinuma (National Cancer Center Hospital) MI2018-100 |
The number of fatal cases of colorectal cancer patients in Japan is increasing year by year. For colorectal cancer stagi... [more] | MI2018-100 pp.169-171 |
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| MI | 2019-01-23 14:00 |
Okinawa | [Short Paper]
Search for emphysema-related SNP using long-term aged low-dose CT images Genki Nozaki, Kazuki Endo, Tatsuro Morimoto, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Seiichiro Tange, Kiyoshi Masuda, Issei Imoto (Tokushima Graduate School), Masahiro Kaneko (Tokyo Health Service Association) MI2018-101 |
[more] | MI2018-101 pp.173-174 |
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| MI | 2019-01-23 14:00 |
Okinawa | Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net Kanako Murakami, Shoji Kido, Yasushi Hirano, Shingo Mabu (Yamaguchi Univ.), Kenji Kondo (AIST/Panasonic), Jun Ozawa (AIST) MI2018-102 |
Segmentation is important for diagnosis of diffuse lung diseases (DLD) as same as classification. In recent years, a lot... [more] | MI2018-102 pp.175-179 |
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| MI | 2019-01-23 14:00 |
Okinawa | MI2018-103 |
(To be available after the conference date) [more] | MI2018-103 pp.181-182 |
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| MI | 2019-01-23 14:00 |
Okinawa | MI2018-104 |
(To be available after the conference date) [more] | MI2018-104 pp.183-184 |
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| MI | 2019-01-23 14:00 |
Okinawa | Study of Parameter values of the Data Augmentation of the Phase Recognition by detecting and tracking surgical tools in the Awake Brain Tumor Removal Surgery Hiroki Fujie, Keiju Hirata, Takahiro Horigome (Waseda Univ), Hiroshi Nagahashi (JWU), Ohya Jun (Waseda Univ), Manabu Tamura, Ken Masamune, Yoshihiro Muragaki (TWMU) MI2018-105 |
(To be available after the conference date) [more] | MI2018-105 pp.185-189 |
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| MI | 2019-01-23 14:00 |
Okinawa | Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ) MI2018-106 |
In this paper, we improve automated anatomical labeling accuracy for the abdominal arteries by introducing data augmenta... [more] | MI2018-106 pp.191-196 |
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| MI | 2019-01-23 14:00 |
Okinawa | Detection of fetal part and depth estimation in ultrasound image using deep learning and Grad_CAM Genta Ishikawa, Rong Xu, Jun Ohya, Hiroyasu Iwata (Waseda Univ) MI2018-107 |
(To be available after the conference date) [more] | MI2018-107 pp.197-202 |
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| MI | 2019-01-23 14:00 |
Okinawa | Superimposed Display of 3D Medical Images to Head Images Using a Marker-less AR for Craniotomy in Brain Surgery Yuya Nishizaki (Waseda Univ), Ken Masamune (Tokyo Women's Medical Univ), Hiroshi Nagahashi (Japan Women's Univ), Jun Ohya (Waseda Univ) MI2018-108 |
(To be available after the conference date) [more] | MI2018-108 pp.203-207 |
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| MI | 2019-01-23 14:00 |
Okinawa | Recognizing Surgical Situations in Brain Tumor Removal Surgery Based on Analyzing the Surgeon's Hands' Motion in the Video Sequence Acquired by a Camera Observing the Surgeon's Hand Area Takahiro Horigome, Hiroki Fujie, Keiju Hirata (Waseda Univ.), Ken Masamune (TWMU), Hiroshi Nagahashi (JWU), Jun Ohya (Waseda Univ.) MI2018-109 |
(To be available after the conference date) [more] | MI2018-109 pp.209-213 |
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| MI | 2019-01-23 14:00 |
Okinawa | Medical AR Navigation Using QR Code Markers Ryuhei Maruyama (Waseda Univ), Satoru Morita, Kenji Endo (Tokyo Women's Medical Univ Hospital), Ken Masamune (Tokyo Women's Medical Univ), Hiroshi Nagahashi (Japan Women's Univ), Jun Ohya (Waseda Univ) MI2018-110 |
(To be available after the conference date) [more] | MI2018-110 pp.215-219 |
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| MI | 2019-01-23 15:10 |
Okinawa | Report on MICCAI 2018 Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Hayato Ito, Takaaki Sugino (Nagoya Univ.), Atsushi Saito (TUAT), Ryo Furukawa (Hiroshima City Univ.), Takashi Onishi, Atsushi Imiya (Chiba Univ.), Kensaku Mori (Nagoya Univ.) MI2018-111 |
In this paper, the outlines of MICCAI 2018 main conference sessions and workshops are introduced. A few interesting repo... [more] | MI2018-111 pp.221-228 |
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| 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 |
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| MI | 2019-01-23 15:50 |
Okinawa | MI2018-113 |
(To be available after the conference date) [more] | MI2018-113 pp.233-234 |
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| MI | 2019-01-23 16:05 |
Okinawa | 3D Shape Reconstruction of Distal Forearm Bones from Radiography using Convolutional Neural Network Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Ryoya Shiode, Tsuyoshi Murase (Osaka Univ.), Yoshinobu Sato (NAIST) MI2018-114 |
The 3D bone model extracted from the CT image is used for diagnosis or follow-up. However, the necessity of the CT acqui... [more] | MI2018-114 pp.235-238 |
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| MI | 2019-01-23 16:20 |
Okinawa | MI2018-115 |
(To be available after the conference date) [more] | MI2018-115 pp.239-240 |
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