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Paper Abstract and Keywords
Presentation 2026-03-06 12:46
A Study on Automated Segmentation of Surgical Instruments and Anatomical Structures from Laparoscopic Videos using SAM2
Ikkei Takami, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2025-100
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes an automated segmentation method of surgical instruments and anatomical structures from laparoscopic videos using Segment Anything Model 2 (SAM2). Given the significant burden of laparoscopic surgery on surgeons, developing computer-aided support systems is crucial. Previous SAM2-based methods for extracting the left gastric vein (LGV) and pancreas regions face challenges, including the underutilization of other segmented areas and the heavy workload of creating training data. This study investigates an efficient automatic extraction method to alleviate the data preparation burden. Experimental results demonstrated a reduced workload, although certain classes remained difficult to extract.
Keyword (in Japanese) (See Japanese page) 
(in English) Laparoscopic surgery / Segment Anything Model 2 / Segmentation / Human-in-the-Loop / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 395, MI2025-100, pp. 151-154, March 2026.
Paper # MI2025-100 
Date of Issue 2026-02-26 (MI) 
ISSN Online edition: ISSN 2432-6380
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)
Download PDF MI2025-100

Conference Information
Committee MI  
Conference Date 2026-03-05 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2026-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Automated Segmentation of Surgical Instruments and Anatomical Structures from Laparoscopic Videos using SAM2 
Sub Title (in English)  
Keyword(1) Laparoscopic surgery  
Keyword(2) Segment Anything Model 2  
Keyword(3) Segmentation  
Keyword(4) Human-in-the-Loop  
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1st Author's Name Ikkei Takami  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yuichiro Hayashi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takayuki Kitasaka  
3rd Author's Affiliation Aichi Institute of Technology (Aichi Institute of Tech.)
4th Author's Name Masahiro Oda  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kazunari Misawa  
5th Author's Affiliation Aichi Cancer Center Hospital (Aichi Cancer Center Hospital)
6th Author's Name Kensaku Mori  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2026-03-06 12:46:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2025-100 
Volume (vol) vol.125 
Number (no) no.395 
Page pp.151-154 
#Pages 4 
Date of Issue 2026-02-26 (MI) 

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