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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 13:28 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Experimental validation of relationship between training data amount and accuracy of automatic annotation in developing image diagnosis AI Koki Muranaka, Mitsutaka Nemoto, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Yukako Nakamae (Kindai Univ.), Takeharu Yoshikawa (Tokyo Univ.)  MI2023-77 |
To reduce the development cost of image diagnosis AI systems, we have studied and proposed an automatic process for crea... [more] | MI2023-77 pp.149-151 |
| MI | 2024-03-04 13:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-Organ Segmentation from 3D Abdominal CT Images Using Blood Vessel Enhanced Images and AutoML Mana Ohno, Shen Chen (Nagoya Univ.), Holger R. Roth (NVIDIA Corp.), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) MI2023-78 |
Multi-organ segmentation is an essential method for the development of computer-aided diagnosis and surgery systems. In ... [more] | MI2023-78 pp.152-155 |
| ITS, WBS, RCC | 2023-12-22 10:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Appropriate Exposure Settings for extraction of Flashing Signal Transmitter Region for Development of Visible Light V2V Communication and Ranging System Surena Kawahara (KGU), Takahashi Daisuke (bunka), Hirano Teruaki, Mizui Kiyoshi (KGU) WBS2023-53 ITS2023-36 RCC2023-47 |
In this study, the method of extracting the position of the LED light source that is the transmitter from the in-vehicle... [more] | WBS2023-53 ITS2023-36 RCC2023-47 pp.128-133 |
| MI, MICT | 2023-11-14 09:30 |
Fukuoka | Facial Symmetry Analysis Based on Extraction of Lip Region from 4D Data Narumi Kihara (KIT), Namiko Kimura-Nomoto, Takako Okawachi (Kagoshima Univ.), Guangxu Li (Tiangong Univ.), Norifumi Nakamura (Kagoshima Univ.), Tohru Kamiya (KIT) MICT2023-25 MI2023-18 |
We propose an image processing method using 4D data (3D point cloud containing temporal changes) to quantitatively evalu... [more] | MICT2023-25 MI2023-18 pp.1-4 |
|
| ITS | 2023-07-14 13:15 |
Gunma | Gunma Univ. (Aramaki) (Primary: On-site, Secondary: Online) |
Image Processing Methods to Improve the Extraction Accuracy of LED Signal Transmitter Region for Development of Visible Light V2V Communication and Ranging System Surena Kawahara, Kiyoshi Mizui (KGU) ITS2023-2 |
In this research, the method of extracting the position of the transmitting light source in the image is studied in orde... [more] | ITS2023-2 pp.7-11 |
| MI | 2023-03-06 14:55 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2022-87 |
(To be available after the conference date) [more] | MI2022-87 pp.75-77 |
| MI | 2023-03-06 15:21 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2022-89 |
(To be available after the conference date) [more] | MI2022-89 pp.80-81 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 14:25 |
Hokkaido | Hokkaido Univ. | Region Extraction Method Using Blinking LED Signal Sources for Development of Visible Light V2V Communication and Ranging System Surena Kawahara (KGU), Daisuke Takahashi (bunka), Teruaki Hirano, Kiyoshi Mizui (KGU) ITS2022-72 IE2022-89 |
This study is to develop an integrated Vehicle-to Vehicle (V2V) Communication and Ranging System using spread spectrum (... [more] | ITS2022-72 IE2022-89 pp.169-172 |
| RCC, ITS, WBS | 2022-12-14 16:00 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
Blinking Region Extraction Method Using Image Processing for Visible Light V2V Communication and Ranging System Using Spread Spectrum Technique Surena Kawahara (KGU), Takahashi Daisuke (bunka), Hirano Teruaki, Mizui Kiyoshi (KGU) WBS2022-63 ITS2022-39 RCC2022-63 |
The Vehicle-to-Vehicle Communication and Ranging System using spread spectrum (SS), which enables simultaneous communica... [more] | WBS2022-63 ITS2022-39 RCC2022-63 pp.156-160 |
| SIS | 2022-12-05 14:50 |
Osaka | (Primary: On-site, Secondary: Online) |
A Method of Automatic Wall Detection from Room Images by Deep Neural Networks Shunya Shimegi, Kaoru Arakawa (Meiji Univ.) SIS2022-27 |
In order to design interior renovation easily，a method of automatic wall area detection is proposed using deep neural ne... [more] | SIS2022-27 pp.21-25 |
| MI | 2022-01-26 14:05 |
Online | Online | [Short Paper]
Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64 |
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] | MI2021-64 pp.82-85 |
| MI | 2021-08-27 15:00 |
Online | Online | [Short Paper]
Region extraction and mass estimation of kidneys from Ai-CT Yasushi Hirano, Remi Yamashita (Yamaguchi Univ.), Shoji Kido (Osaka Univ.), Kunihiro Inai (Univ. of Fukui) MI2021-24 |
Autopsy imaging (Ai) is an examination method for investigating the cause of death and estimating the postmortem time. S... [more] | MI2021-24 pp.10-11 |
| PRMU | 2020-12-18 17:00 |
Online | Online | An evaluation method of area detection AI based on contribution pattern variation with noise addition Yasuhide Mori, Naofumi Hama, Masashi Egi (Hitachi) PRMU2020-67 |
The processing of image recognition AI using machine learning is generally black-boxed, and grasping the operating chara... [more] | PRMU2020-67 pp.166-171 |
| PRMU | 2020-10-09 15:00 |
Online | Online | Investigation of Kumamoto Castle ISHIGAKI Region Extraction Using Stone Features and Shape Evaluation Yuuki Yamasaki, Masahiro Migita, Go Koutaki, Masashi Toda (Kumamoto Univ.), Tsuyoshi Kishigami (TOPPAN) PRMU2020-28 |
We are developing a stone wall collation system to efficiently repair the stone wall of Kumamoto Castle, and it is neces... [more] | PRMU2020-28 pp.56-61 |
| MI | 2020-09-03 10:00 |
Online | Online | Lung region segmentation of thoracoscopic image with unsupervised image translation Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19 |
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] | MI2020-19 pp.13-18 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:30 |
Kyoto | (Cancelled but technical report was issued) |
Object area extraction with biased training data set Ryo Nakamura, Yoshiaki Ueda, Jun Fujiki, Masaru Tanaka (Fukuoka Univ) PRMU2019-88 |
In order to extract an object region using machine learning, it is necessary to give a teacher label to each pixel. Prov... [more] | PRMU2019-88 pp.115-119 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113 |
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] | MI2019-113 pp.203-205 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 15:40 |
Okayama | Preliminary investigation on decomposition of individual muscles and bones of lower extremity from single radiograph using CycleGAN Naoki Nakanishi, Yuta Hiasa, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) PRMU2019-16 MI2019-35 |
Extraction of musculoskeletal structures of lower extremity from medical images is useful for quantitatively understandi... [more] | PRMU2019-16 MI2019-35 pp.25-30 |
|
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:20 |
Kagoshima | Kagoshima University | Study on Head Region Extraction Methods for Human Images Shu Iwata, Tatsuya Yamazaki (Niigata Univ.) IMQ2018-28 IE2018-112 MVE2018-59 |
One of our research objects is to develop an application that provides questions using human head images and to provide ... [more] | IMQ2018-28 IE2018-112 MVE2018-59 pp.31-35 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 09:30 |
Hokkaido | Hokkaido Univ. | Detection of Improper Tactile Paving using Pedestrian Viewpoint video Kento Watanabe, Hiroki Takahashi (UEC) ITS2018-73 IE2018-94 |
Currently, there are 36 million blind people in the whole world. Furthermore, the number of blind people will be expecte... [more] | ITS2018-73 IE2018-94 pp.141-146 |
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