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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
MBE, NC
(Joint)
2022-03-04
09:30
Online Online An estimation method of missing Information of compressed sound source using the Deep U-Net as an Auto-Encoder
Kazuma Hirai, Susumu Kuroyanagi (NITech) NC2021-69
Some systems of speech-based information transmission, such as radio, telephone, and records, deal with sounds that lack... [more] NC2021-69
pp.121-126
EST 2022-01-28
11:00
Online Online Blood Vessel Structure Analysis using a Simulation Model for the Purpose of Polyp Shape Recovery from Endoscopic Images
Shusuke Kato, Hiroyasu Usami, Akihiko Okazaki, Yuji Iwahori (Chubu Univ.), Ogasawara Naotaka, Kunio Kasugai (Aichi Medical Univ.) EST2021-83
In recent years, the incidence of colorectal cancer in Japan has been on the rise. It is essential to realize a medical ... [more] EST2021-83
pp.130-135
MI 2022-01-25
16:11
Online Online Uveitis Lesion Detection Using Ultra-Wide Field Fluorescein Angiography Imaging Registration
Tomoki Wakitani (Univ. of Shiga Prefecture), Yuji Hatanaka (Oita Univ.), Hiroshi Keino (Kyorin Univ.), Wataru Sunayama (Univ. of Shiga Prefecture) MI2021-49
Uveitis is a group of diseases that cause inflammation of the uvea and may lead to blindness. Fluorescein fundus angiogr... [more] MI2021-49
pp.28-31
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