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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CAS | 2024-10-17 13:40 |
Tottori | Information Center, Tottori University | Investigating High Image Quality of Generated Images and Iterative Generation of Fractal Images Using U-Net Saki Okamoto, Kenya Jin'no (Tokyo City Univ.)  CAS2024-36 NLP2024-66 |
In recent years, convolutional neural networks (CNNs) have been widely used in fields such as generative AI and facial r... [more] | CAS2024-36 NLP2024-66 pp.48-51 |
| PN | 2024-08-27 10:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Modeling of Semiconductor Optical Amplifier based on Convolutional Neural Network Ryoma Katsura, Daisuke Hisano (Osaka Univ.) PN2024-24 |
Monitoring and control technologies in optical fiber networks are attracting attention. In addition, monitoring the ampl... [more] | PN2024-24 pp.68-73 |
| PRMU, IPSJ-CVIM | 2024-05-16 09:45 |
Tokyo | (Primary: On-site, Secondary: Online) |
Development and evaluation of a video segmentation model using differences between frames Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ) PRMU2024-3 |
Automatic Video Object Segmentation (AVOS) involves the extraction of target objects in videos autonomously, without hu... [more] | PRMU2024-3 pp.13-17 |
| MI | 2024-03-03 10:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Pilot study of multitask learning for upper abdominal organ extraction and lesion detection on PET/CT images Kohei Yoshida, Mitsutaka Nemoto, Kazuki Otani (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tatsuya Tsuchitani, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-37 |
As one of the studies for highly accurate detection of adrenal metastatic lesions on FDG-PET/CT images, multi-task learn... [more] | MI2023-37 pp.25-27 |
| MI | 2024-03-03 17:30 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A Study of LGE-MRI Image Preprocessing Methods for Machine Learning-Based Left Atrial Wall Segmentation Kyohei Konishi, Shingo Araki, Ryo haraguchi (UOH), Kunihiko Kiuchi (KUH) MI2023-61 |
Preoperative assessment of left atrial fibrosis from late gadolinium enhancement MRI (LGE-MRI) images has been studied t... [more] | MI2023-61 pp.91-94 |
| MI | 2024-03-04 13:04 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Extraction of phalanges regions from hand CT images using 3D U-Net Madoka Okada, Takaharu Yamazaki, Yusei Arisawa (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei) MI2023-75 |
Accurate extraction of phalanges regions from hand CT images is important to support accurate image diagnosis, treatment... [more] | MI2023-75 pp.141-144 |
| 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 | 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 | 2023-03-07 16:50 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Extraction of kidney and renal tumors in a multi-temporal contrast-enhanced CT image database Dai Nishioka, Kento Nishihira, Kaito Koshino, Hidenobu Suzuki, Yoshiki Kawata (Tokushima Univ.), Yuki Kobari (TWMU), Atsushi Ikeda (U. Tsukuba), Noboru Niki (Medical Science Institute Inc.) MI2022-125 |
To develop a highly accurate differentiation method for malignant and benign tumors by precisely analyzing renal and ren... [more] | MI2022-125 pp.210-211 |
| 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 |
| EMM | 2023-03-03 11:05 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
Investigation of Video Watermarking Method Based on 3D U-Net Robust Against Re-shooting Ryota Takahashi (Osaka Prefecture Univ.), Motoi Iwata, Koichi Kise (Osaka Metropolitan Univ.) EMM2022-92 |
In recent years, digital signage has become popular as a device for disseminating information to the masses. However, un... [more] | EMM2022-92 pp.132-137 |
| MI | 2022-09-15 11:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka (Okayama Univ.), Yuho Ebata (Kyushu Univ.), Hirofumi Hasuda (NHOKMC), Shoko Miyauchi, Ota Mitsuhiko (Kyushu Univ.) MI2022-54 |
Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esop... [more] | MI2022-54 pp.26-27 |
| MI | 2022-09-15 14:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Unsupervised Cell Detection for Suppression of Background Information in Cytology Keita Takeda, Kazuki Matsuo, Kohei Fujiwara, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MI2022-57 |
(To be available after the conference date) [more] | MI2022-57 pp.35-38 |
| IN, CCS (Joint) |
2022-08-04 11:10 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
A Study on the Role of Latent Variables in Auto Encoder and U-Net Saki Okamoto, Kenya Jinno (Tokyo City Univ.) CCS2022-29 |
Using U-Net, which introduces Contracting Paths (Concat) into Auto Encoder (AE), we trained the system to output a front... [more] | CCS2022-29 pp.16-19 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-13 14:50 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Investigation of noise removal using U-Net and voice recognition performance improvement
-- for train running noise -- Jian Lin, Shota Sano, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2022-26 |
A method for converting noisy sound into images to remove the noise has been proposed. We are attempting to remove train... [more] | SeMI2022-26 pp.34-39 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection Daisuke Shigemori, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-27 BioX2022-27 IE2022-27 MI2022-27 |
Although deep learning-based image transformation has been attempted to be applied to metal artifact reduction, feature ... [more] | SIP2022-27 BioX2022-27 IE2022-27 MI2022-27 pp.138-143 |
| MSS, NLP | 2022-03-29 14:15 |
Online | Online | Weighted Dice Loss for Segmentation from Noisy Labels Toshikazu Samura, Katsumi Tadamura (Yamaguchi Univ.) MSS2021-77 NLP2021-148 |
Deep neural networks (DNNs) are easily affected by noisy labels during training. It degrades the classification performa... [more] | MSS2021-77 NLP2021-148 pp.117-120 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:20 |
Online | Online (Zoom) | Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki (SIT) IMQ2021-11 IE2021-73 MVE2021-40 |
Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields... [more] | IMQ2021-11 IE2021-73 MVE2021-40 pp.7-12 |
| IBISML | 2022-03-09 10:15 |
Online | Online | [Invited Talk]
--- Takahiro Tsukahara (Tokyo University of Science) IBISML2021-41 |
Turbulence of viscoelastic fluids, such as dilute polymer/surfactant solutions, is of practical importance, because it c... [more] | IBISML2021-41 p.34 |
| LOIS | 2022-03-03 16:15 |
Online | Online | A Study on Automatic Segmentation Method for Plant Specimen Images Using U-Net Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2021-47 |
the image processing required to digitize images of plant specimens. Digitized images of plant specimens are very divers... [more] | LOIS2021-47 pp.45-50 |
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