Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2023-03-06 14:20 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85 |
This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative ... [more] |
MI2022-85 pp.63-68 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 15:50 |
Online |
Online |
Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) ITS2021-34 IE2021-43 |
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more] |
ITS2021-34 IE2021-43 pp.55-60 |
MI |
2022-01-26 13:00 |
Online |
Online |
Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59 |
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] |
MI2021-59 pp.59-64 |
MI |
2021-03-17 10:15 |
Online |
Online |
Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2020-88 |
We describe a bleeding region segmentation method using cascade CNN from laparoscopic images. In order to support laparo... [more] |
MI2020-88 pp.172-175 |
MI |
2021-03-17 11:00 |
Online |
Online |
Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91 |
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] |
MI2020-91 pp.186-190 |
MICT, MI |
2020-11-04 15:50 |
Online |
Online |
[Short Paper]
An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45 |
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] |
MICT2020-19 MI2020-45 pp.60-61 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 16:35 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] |
|
MI |
2020-01-29 16:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2019-94 |
This paper proposes a surgical tool segmentation method from laparoscopic images using image synthesis and deep learning... [more] |
MI2019-94 pp.129-134 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 16:30 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) |
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] |
|
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-15 15:00 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information Norifumi Kawabata, Toshiya Nakaguchi (Chiba Univ.) ITS2017-74 IE2017-106 |
The coded defect and degradation in the medial imaging field is each differenced for characteristics, nature, and status... [more] |
ITS2017-74 IE2017-106 pp.77-82 |
MI |
2016-01-19 16:41 |
Okinawa |
Bunka Tenbusu Kan |
Real time detection of bleeding region for building a hemostasis support system in laparoscopic surgery Takayuki Okamoto, Takashi Ohnishi, Hiroshi Kawahira, Hideaki Haneishi (Chiba Univ.) MI2015-106 |
Laparoscopic surgery can reduce the size of a surgical wound and lead to faster recovery. It is difficult, however, to f... [more] |
MI2015-106 pp.157-160 |
IMQ |
2015-05-22 15:50 |
Toyama |
|
Study on Visibility and Depth Perception of Fusion Image between Laparoscope and Ultrasound Ryo Oguma, Toshiyuki Suzuki, Toshiya Nakaguchi (Chiba Univ.) IMQ2015-5 |
In laparoscopic surgery,to obtain information in organs such as the lesion and the blood vessels,the ultrasound probe wh... [more] |
IMQ2015-5 pp.23-28 |
MI |
2014-01-27 14:25 |
Okinawa |
Bunka Tenbusu Kan |
An automated target tracking and zooming system for laparoscopic surgery by direct extraction of forceps motion Keisuke Nishio, Takuro Ishii, Kazuya Kawamura, Tatsuo Igarashi (Chiba Univ.) MI2013-120 |
In laparoscopic surgery, surgical maneuverability largely depends on adequate exposure of the lesions in the laparoscopi... [more] |
MI2013-120 pp.335-340 |
US |
2013-05-27 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Detecting intraoperative ultrasound probe flexion for endoscopic-ultrasound image overlay system Ryo Oguma, Toshiya Nakaguchi, Ryoichi Nakamura, Tadashi Yamaguchi, Hideaki Haneishi (Chiba Univ.) US2013-11 |
In laparoscopic surgery, to identify the location of the lesion and the blood vessels inside organs, the ultrasound prob... [more] |
US2013-11 pp.19-22 |
MI |
2013-01-25 13:10 |
Okinawa |
Bunka Tenbusu Kan |
[Poster Presentation]
Automatic Annotation of Laparoscopic Surgery by Video Comparison Takeshi Sato, Keisuke Doman, Yoshito Mekada (Chukyo Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) MI2012-114 |
Laparoscopic surgery or minimally invasive surgery is few burdens to a patient. However, because of limited viewing fiel... [more] |
MI2012-114 pp.271-274 |
MI |
2012-01-19 11:20 |
Okinawa |
|
A study on the deformation of virtual pneumoperitoneum procedure by utilizing the Newmark-β method Jiadi Qu, Yukitaka Nimura, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Technol.), Kazunari Misawa (Aichi Cancer Center Hosp.), Kensaku Mori (Nagoya Univ.) MI2011-90 |
This paper describes a method of the deformation of abdominal wall for virtual pneumoperitoneum procedure by utilizing t... [more] |
MI2011-90 pp.71-75 |
MI |
2008-07-17 10:00 |
Hokkaido |
Sapporo Medical University |
Development of Laparoscopic Surgery Simulation System besed on 3-D CT Images for Surgical planning Masakazu Kito, Trungdung Truong, Kensaku Mori (Nagoya Univ.), Takayuki Kitasaka (Nagoya Univ./AIT), Yasuhito Suenaga (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Michitaka Fujiwara (Nagoya Univ.) MI2008-28 |
We have been developing a patient-specific laparoscopic surgery simulator using 3--D CT data for assisting surgical plan... [more] |
MI2008-28 pp.47-52 |
MI |
2005-01-21 10:20 |
Okinawa |
Univ. of the Ryukus |
Development of a method for generating virtual laparoscopic views based on extraction from 3D abdominal CT images and volumetric image deformation Hideaki Miyamoto, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Junichiro Toriwaki (Chukyo Univ.), Makoto Hashizume (Kyushu Univ.) |
In this paper, we describe a method for generating virtual laparoscopic views from 3D CT images as an aid for laparoscop... [more] |
MI2004-52 pp.7-12 |