|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-03 17:18 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
3D shape reconstruction of colon with model-based unsupervised depth estimation Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ.), Masahiro Oda (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2023-60 |
We propose unsupervised trainig for the pose estimation in 3D reconstrcution of the colon from colonoscopic images by cl... [more] |
MI2023-60 pp.87-90 |
MI |
2022-01-26 13:52 |
Online |
Online |
Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection Hayato Itoh (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (Oslo Univ.), Shin-Ei Kudo (Showa Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-63 |
We propose new visual explanation methods for a trained object detector toward precise automated polyp localisation. Sev... [more] |
MI2021-63 pp.76-81 |
PRMU, MI, IPSJ-CVIM [detail] |
2019-09-05 14:10 |
Okayama |
|
Analysis and Feature Selection of CNN Features
-- Recognition of Neoplasia by using Endocytoscopic Images -- Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) PRMU2019-29 MI2019-48 |
Pathological pattern classification is based on texture patterns in ultra magnified view of polyp surfaces.
Deep learni... [more] |
PRMU2019-29 MI2019-48 pp.129-134 |
MI |
2019-01-23 09:45 |
Okinawa |
|
Feature Selection from Imbalanced Data
-- Pathological Pattern Classification in Endocytoscopic Images -- Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2018-87 |
Endocytoscope gives ultramagnified observation that enables physicians to achieve minimally invasive and real-time diagn... [more] |
MI2018-87 pp.109-114 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 15:25 |
Okinawa |
|
Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81 |
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] |
MI2017-81 pp.51-56 |
MI |
2017-09-25 15:30 |
Chiba |
Chiba Univ. |
Classification of neoplasia and non-neoplasia for colon endocytoscopic images by convolutional neural network Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-44 |
Endocytoscopy is a new endoscope that enables us to perform conventional endoscopic observation and ultramagnified obser... [more] |
MI2017-44 pp.17-21 |
NS, IN (Joint) |
2010-03-04 08:40 |
Miyazaki |
Miyazaki Phoenix Seagaia Resort (Miyazaki) |
A Dynamic Spectrum Assignment based on Loss Probability Prediction in WiFi/WiMAX Integrated Network Yuichi Kanamori (Osaka Univ.), Keita Kawano (Okayama Univ.), Kazuhiko Kinoshita, Koso Murakami (Osaka Univ.) NS2009-170 |
Recently, as wireless systems diversifies, an integrated wireless network which uses some wireless systems selectively t... [more] |
NS2009-170 pp.49-54 |
ICM |
2009-05-29 11:45 |
Kagawa |
Kagawa University |
A Dynamic Spectrum Assignment in WiFi/WiMAX Integrated Network for Multimedia Services Yuichi Kanamori (Osaka Univ.), Keita Kawano (Okayama Univ.), Kazuhiko Kinoshita, Koso Murakami (Osaka Univ.) ICM2009-10 |
With advances in communication technologies, network services provided via the Internet have been widely diversified, an... [more] |
ICM2009-10 pp.89-94 |
|
|
|
Copyright and reproduction :
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
|
[Return to Top Page]
[Return to IEICE Web Page]
|