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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
 Results 1 - 17 of 17  /   
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