论文标题
Cholecseg8k：基于胆囊切除术的语义分割数据集，基于胆囊切除术
CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
论文作者
论文摘要
已经开发出计算机辅助手术以增强手术的正确性和安全性。但是，研究人员和工程师的注释数据有限，以开发和培训更好的算法。因此，诸如同时定位和映射（SLAM）之类的基本算法的开发是有限的。本文详细阐述了准备数据集进行语义分割的努力，这是许多计算机辅助手术机制的基础。基于Cholec80数据集[3]，我们提取了来自Cholec80 17个视频片段的8,080个腹腔镜胆囊切除术帧帧，并注明了图像。该数据集名为Cholecseg8k，其总尺寸为3GB。这些图像中的每一个都在像素级别的13个类别上注释，这些类别通常建立在腹腔镜胆囊切除术手术中。 cholecseg8k根据许可证CC BY- NC-SA 4.0发布。
Computer-assisted surgery has been developed to enhance surgery correctness and safety. However, researchers and engineers suffer from limited annotated data to develop and train better algorithms. Consequently, the development of fundamental algorithms such as Simultaneous Localization and Mapping (SLAM) is limited. This article elaborates on the efforts of preparing the dataset for semantic segmentation, which is the foundation of many computer-assisted surgery mechanisms. Based on the Cholec80 dataset [3], we extracted 8,080 laparoscopic cholecystectomy image frames from 17 video clips in Cholec80 and annotated the images. The dataset is named CholecSeg8K and its total size is 3GB. Each of these images is annotated at pixel-level for thirteen classes, which are commonly founded in laparoscopic cholecystectomy surgery. CholecSeg8k is released under the license CC BY- NC-SA 4.0.
