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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| 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 |
| 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 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Bleeding area segmentation from laparoscopic video based on U-Net for laparoscopic surgery support Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu, Takuya Ozawa (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (Cancer Center), Kensaku Mori (Nagoya Univ.) MI2019-115 |
This paper reports a bleeding region segmentation method in laparoscopic videos based on U-Net for laparoscopic surgery ... [more] | MI2019-115 pp.209-214 |
| 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 |
| PRMU, IE, MI, SIP | 2016-05-19 14:40 |
Aichi | Development of surgical skills training system to teach expert physician's skill appropriate for surgical process Takafumi Marutani, Akifumi nakamura, Yusuke nomura, Hiromi T. tanaka, Kazuyoshi Tagawa, Nobutaka Shimada (Ritsumeikan Univ.), Masaru komori (SUMS), Yoshimasa Kurumi (Shiga hospital), Shigehiro Morikawa (SUMS) SIP2016-11 IE2016-11 PRMU2016-11 MI2016-11 |
Laparoscopic surgery has become a widely performed surgery as it is one of the most common minimally invasive surgeries.... [more] | SIP2016-11 IE2016-11 PRMU2016-11 MI2016-11 pp.53-58 |
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| PRMU, MI, IE, SIP | 2015-05-14 13:30 |
Mie | Surgical process recognition based on the locations of surgical devices and organs in laparoscopic video Takafumi Marutani, Hiromi T. Tanaka (Ritsumeikan Univ.), Masaru Komori, Yoshimasa Kurumi, Shigehiro Morikawa (Shiga Univ. of Med. Sci.) SIP2015-2 IE2015-2 PRMU2015-2 MI2015-2 |
Laparoscopic surgery is a recent common surgical technique as one of minimally invasive surgery. This surgery is perfor... [more] |
SIP2015-2 IE2015-2 PRMU2015-2 MI2015-2 pp.7-11 |
|
| 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 | 2011-01-19 16:20 |
Okinawa | Naha-Bunka-Tembusu | Estimation of procedure in laparoscopic surgery by subspace method with color information Takahiro Chino, Yoshito Mekada (Chukyo Univ.), Kensaku Mori (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center) MI2010-81 |
This paper presents an automated method for classifying scenes of laparoscope videos based on the subspace method with c... [more] | MI2010-81 pp.1-4 |
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