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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2023-12-08 14:10 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital)  SIS2023-43 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. Detection ... [more] | SIS2023-43 pp.105-110 |
| SIS, IPSJ-AVM [detail] | 2023-06-15 11:10 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
A New Detection Method of Calcification Regions in Dental Panoramic Radiograph and Application of MTL in Its Learning Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-2 |
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] | SIS2023-2 pp.7-12 |
| PRMU, IPSJ-CVIM | 2023-05-19 09:20 |
Aichi | (Primary: On-site, Secondary: Online) |
Learning static NeRF representations from video using 2D segmentation masks Takashi Otonari (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.) PRMU2023-7 |
In this paper, we tackle the problem of extracting static backgrounds from videos containing moving objects, such as peo... [more] | PRMU2023-7 pp.33-38 |
| CCS | 2023-03-27 09:00 |
Hokkaido | RUSUTSU RESORT | Medical Image Segmentation with Inverse Heat Dissipation Model Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2022-82 |
The diffusion model is a generative model based on stochastic transitions and has been successfully used to generate an... [more] |
CCS2022-82 pp.107-112 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 14:25 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Pear flower pollination path estimation using deep learning and combinatorial optimization Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada, Akane Shibasaki (SATRC), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT) CQ2022-95 |
Since fruit trees are grown outdoors, they require heavy and long hours working. In among fruit trees, pears needs artif... [more] | CQ2022-95 pp.74-77 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 15:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Improvement of cross-attention modules for image captioning using pixel-wise semantic information Zhihao Chen, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-84 IE2022-161 MVE2022-114 |
Most of image captioning models have attention modules, and the module outputs an attention map (weighted feature map) f... [more] | IMQ2022-84 IE2022-161 MVE2022-114 pp.333-338 |
| ITS, IEE-ITS | 2023-03-13 16:20 |
Chiba | Nihon Univ., Funabashi Campus (Primary: On-site, Secondary: Online) |
Prediction of the Future Location of a Vehicle captured from the Dashboard Camera using Instance Segmentation Koki Ikeda, Takumi Uemura, Shuichi Ojima (Sojo Univ.) ITS2022-83 |
In recent years, the development of automated driving has been active in the automated driving industry, and Level 3 and... [more] | ITS2022-83 pp.22-27 |
| MI | 2023-03-06 13:41 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets Qin An (Nagoya Univ.), Hirohisa Oda (UoS), SiRui Chen, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Univ), Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-82 |
In this paper, we aim to compare and analyze the small intestine segmentation methods based on U-Net and 3D U-Net. Segme... [more] | MI2022-82 pp.46-51 |
| MI | 2023-03-06 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92 |
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] | MI2022-92 pp.94-99 |
| MI | 2023-03-07 17:29 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
High Accuracy Segmentation of trachea and bronchus using 3D U-Net Tatsuya Ogasa, Rikuto Kuroda, Yoshiki Kawata, Hidenobu Suzuki (Tokushima Univ), Yuzi Matsumoto, Takaki Tsuchida, Masahiko Kusumoto (NCC), Noboru Niki (Medical Science Institute Inc.) MI2022-128 |
High-Accuracy trachea and bronchus segmentation is required for lymph node analysis in lung cancer. Since manual segment... [more] | MI2022-128 pp.217-220 |
| MI | 2023-03-07 17:55 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A centerline-based post-processing for detecting intestinal obstructions in CT volumes Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130 |
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal o... [more] | MI2022-130 pp.223-228 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:30 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Detection of UI parts from web page images utilizing a small amount of data Wataru Aizaki, Sotaro Kato, Yoshihisa Shinozawa (Keio Univ.), Yukako Iimura, Shinobu Saito (NTT) PRMU2022-61 IBISML2022-68 |
The purpose of our research is to devise a method for detecting UI parts in a Web screen. The proposed method consists o... [more] | PRMU2022-61 IBISML2022-68 pp.17-22 |
| IN, NS (Joint) |
2023-03-03 11:00 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Unidentified Floating Object Detecting Method in Maritime Environment using Efficient GAN Hiromu Habuka, Kohta Ohshima (TUMSAT) NS2022-230 |
(To be available after the conference date) [more] | NS2022-230 pp.362-367 |
| MSS, SS | 2023-01-11 15:25 |
Osaka | (Primary: On-site, Secondary: Online) |
On Botnet Disinfection by Rebooting by Area Yuji Katsura, Shingo Yamaguchi (Yamaguchi Univ.) MSS2022-60 SS2022-45 |
This paper proposes a method of rebooting on a per-area basis rather than on a per-device basis to get rid of IoT botnet... [more] | MSS2022-60 SS2022-45 pp.90-95 |
| PRMU | 2022-12-15 10:45 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
DN4C
-- An Interactive Image Segmentation System Combining Deep Neural Network and Nearest Neighbor Classifier -- Toshikazu Wada, Koji Kamma (Wakayama University) PRMU2022-35 |
Color/texture based image segmentation can be widely applied to the images for product and/or medical inspection, remote... [more] | PRMU2022-35 pp.19-24 |
| PRMU | 2022-12-16 14:25 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Investigation for the Importance of Brightness Adjustment in Image Recognition for Water Hyacinth Using Semantic Segmentation Soma Miyamoto, Hiroki Imamura (Soka Univ.) PRMU2022-49 |
Water hyacinth, which is abundant in tropical and temperate regions, causes great damage in various fields such as infra... [more] | PRMU2022-49 pp.91-94 |
| RCC, ITS, WBS | 2022-12-14 11:05 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
A study on signal superposition using segmentation for digital signage and image sensor-based visible light communication
-- Effect of segmentation algorithm on visual and communication quality -- Nagisa Oyabu, Kentaro Kobayashi, Wataru Chujo (Meijo Univ.) WBS2022-45 ITS2022-21 RCC2022-45 |
In image sensor visible light communication using digital signage,it is necessary to transmit data information without i... [more] | WBS2022-45 ITS2022-21 RCC2022-45 pp.60-64 |
| RCC, ITS, WBS | 2022-12-14 10:40 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
A Study on Identification of Bicycle Riding Environment by Image Segmentation and Transfer Learning Hiroaki Arai, Tetsuya Manabe (Saitama Univ.) WBS2022-54 ITS2022-30 RCC2022-54 |
This paper examines the identification of the bicycle riding environment by image segmentation and transfer learning. W... [more] | WBS2022-54 ITS2022-30 RCC2022-54 pp.108-113 |
| 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 |
| SIS | 2022-12-05 15:10 |
Osaka | (Primary: On-site, Secondary: Online) |
Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2022-28 |
Calcification regions that are a sign of vascular diseases may be observed on dental panoramic radiographs. The finding ... [more] | SIS2022-28 pp.26-31 |
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