CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
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CholecSeg8k：基于Cholec80的腹腔镜胆囊切除术语义分割数据集
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
C.
中科院分区：
文献类型：
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作者：
W.;Chang;Y.;J.;Wanxing Chang;C.
计算机辅助手术的发展是为了提高手术的正确性和安全性。然而，研究人员和工程师受到有限的注释数据的影响，无法开发和训练更好的算法。因此，同步定位和映射（SLAM）等基本算法的发展受到限制。本文详细阐述了为语义分割准备数据集的工作，这是许多计算机辅助手术机制的基础。基于Cholec80数据集[3]，从Cholec80的17个视频片段中提取8080张腹腔镜胆囊切除术图像帧，并对图像进行注释。数据集命名为CholecSeg8K，其总大小为3GB。这些图像中的每一个都在像素级上标注了13个类别，这通常是在腹腔镜胆囊切除术中发现的。CholecSeg8k在CC BY- NC-SA 4.0许可下发布。
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.