TUM LapChole dataset

TUM LapChole数据集是由慕尼黑工业大学计算机辅助医疗程序团队创建，专注于腹腔镜胆囊切除手术的视频数据。该数据集包含20个手术视频，每个视频都标注了手术阶段，总共有8个定义的手术阶段。数据集的创建过程包括视频录制、剪辑和重新采样，确保视频以25Hz的恒定帧率播放。此数据集主要用于机器学习在手术数据科学中的应用，特别是在手术工作流程识别和分析中，旨在提高手术过程的自动化和标准化水平。

The TUM LapChole dataset was created by the Computer-Assisted Medical Procedures Team at the Technical University of Munich, focusing on video data from laparoscopic cholecystectomy surgeries. It includes 20 surgical videos, each annotated with surgical phases, and there are 8 predefined surgical phases in total. The dataset creation process involves video recording, editing and resampling to ensure all videos maintain a constant frame rate of 25 Hz. This dataset is primarily used for machine learning applications in surgical data science, particularly for surgical workflow recognition and analysis, aiming to enhance the automation and standardization of surgical procedures.

搜集汇总

背景与挑战

背景概述

TUM LapChole数据集是由慕尼黑工业大学创建的腹腔镜胆囊切除手术视频数据集，包含20个视频，每个视频都标注了8个手术阶段，并以25Hz恒定帧率处理。该数据集主要用于机器学习在手术数据科学中，特别是手术工作流程识别和分析，以促进手术过程的自动化和标准化。