数据集可用于执行各种任务手术工具分类手术阶段识别外科医生技能分类

This folder includes: - Cholec-tinytools dataset: 1999 RGB images. - License file - README file ================================================ DATASET DESCRIPTION ================================================ The Cholec-tinytools dataset consists of 1999 RGB images each showing exactly one tool. Each image is of resolution 128x86. ================================================ LICENSE AND REFERENCES ================================================ The Cholec-tinytools dataset is publicly released under the Creative Commons licence CC-BY-NC-SA 4.0 (licence file is given along with the data). This implies that: - the dataset cannot be used for commercial purposes, - the dataset can be transformed (additional annotations, etc.), - the dataset can be redistributed as long as it is redistributed under the same license with the obligation to cite the contributing work which led to the release of the Cholec-tinytools dataset (mentioned below). By downloading and using this dataset, you agree with these terms and conditions. ================================================ CITING Cholec-tinytools ================================================ This dataset could only be generated thanks to the continuous support from our clinical partners. If you use this dataset, you are kindly requested to cite the work that led to the release of this dataset: Twinanda, Andru P., et al. "Endonet: a deep architecture for recognition tasks on laparoscopic videos." IEEE transactions on medical imaging 36.1 (2016): 86-97. Vardazaryan, Armine, et al. "Weakly-supervised learning for tool localization in laparoscopic videos." Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. Springer, Cham, 2018. 169-179. ================================================ CONTACT ================================================ This dataset was generated by the research group CAMMA: http://camma.u-strasbg.fr/. Any updates regarding this dataset can be found here: http://camma.u-strasbg.fr/datasets. Any questions regarding the dataset can be sent to: alapatt@unistra.fr