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CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery

2024-06-23 · Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou, Charlie Budd, Nicholas Raison, Miaojing Shi, Tom Vercauteren

In laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedures of routine surgeries exist, they often lack comprehensive annotations for tool instance segmentation. Additionally, the majority of standard datasets for tool segmentation are derived from porcine(pig) surgeries. To address this gap, we introduce CholecInstanceSeg, the largest open-access tool instance segmentation dataset to date. Derived from the existing CholecT50 and Cholec80 datasets, CholecInstanceSeg provides novel annotations for laparoscopic cholecystectomy procedures in patients. Our dataset comprises 41.9k annotated frames extracted from 85 clinical procedures and 64.4k tool instances, each labelled with semantic masks and instance IDs. To ensure the reliability of our annotations, we perform extensive quality control, conduct label agreement statistics, and benchmark the segmentation results with various instance segmentation baselines. CholecInstanceSeg aims to advance the field by offering a comprehensive and high-quality open-access dataset for the development and evaluation of tool instance segmentation algorithms.

📄 PDF Abstract BibTeX arXiv:2406.16039

Code (1)

labdeeman7/cholec_instance_seg 공식 구현

Tasks

Instance Segmentation Segmentation Semantic Segmentation

Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

2020-07-17 · Emanuele Colleoni, Philip Edwards, Danail Stoyanov

Semantic tool segmentation in surgical videos is important for surgical scene understanding and computer-assisted interventions as well as for the development of robotic automation. The problem is challenging because dif…

Deep Learning Scene Understanding Segmentation

ROBUST-MIPS: A Combined Skeletal Pose and Instance Segmentation Dataset for Laparoscopic Surgical Instruments

2025-08-27 · Zhe Han, Charlie Budd, Gongyu Zhang, Huanyu Tian 외 arxiv

Localisation of surgical tools constitutes a foundational building block for computer-assisted interventional technologies. Works in this field typically focus on training deep learning models to perform segmentation tas…

Instance Segmentation Pose Estimation

hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

2021-10-24 · Jihun Yoon, Jiwon Lee, Sunghwan Heo, Hayeong Yu 외

Automated surgical instrument localization is an important technology to understand the surgical process and in order to analyze them to provide meaningful guidance during surgery or surgical index after surgery to the s…

Instance Segmentation object-detection Object Detection Semantic Segmentation+1

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

2023-12-19 · Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan 외

This technical report provides a detailed overview of Endoscapes, a dataset of laparoscopic cholecystectomy (LC) videos with highly intricate annotations targeted at automated assessment of the Critical View of Safety (C…

Anatomy Instance Segmentation object-detection Object Detection+3

Amodal Segmentation for Laparoscopic Surgery Video Instruments

2024-08-02 · Ruohua Shi, Zhaochen Liu, Lingyu Duan, Tingting Jiang

Segmentation of surgical instruments is crucial for enhancing surgeon performance and ensuring patient safety. Conventional techniques such as binary, semantic, and instance segmentation share a common drawback: they do …