Dataset with segmentations of 117 important anatomical structures in 1228 CT images

Info: This is version 2 of the TotalSegmentator dataset.<br> <br> In 1228 CT images we segmented 117 anatomical structures covering a majority of relevant classes for most use cases. The CT images were randomly sampled from clinical routine, thus representing a real world dataset which generalizes to clinical application. The dataset contains a wide range of different pathologies, scanners, sequences and institutions. Link to a copy of this dataset on Dropbox for much quicker download: Dropbox Link Overview of differences to v1 of this dataset: here A small subset of this dataset with only 102 subjects for quick download+exploration can be found here: here You can find a segmentation model trained on this dataset here.<br> <br> More details about the dataset can be found in the corresponding paper (the paper describes v1 of the dataset). Please cite this paper if you use the dataset. This dataset was created by the department of Research and Analysis at University Hospital Basel.数据集说明：本文件为TotalSegmentator数据集的第2版本。 我们对1228张计算机断层扫描（CT, Computed Tomography）图像中的117种解剖结构完成了分割标注，覆盖了多数应用场景下的绝大多数相关类别。本次所用CT图像均从临床日常病例中随机采样得到，因此这是一个可推广至临床实际应用的真实世界数据集。该数据集涵盖了丰富多样的病变类型、扫描设备、扫描序列以及不同医疗机构的影像数据。 您可通过Dropbox链接下载该数据集的副本，以获得更快的下载速度：Dropbox链接。本数据集与第1版的差异概览可参见此处；仅包含102名受试者的小型子集（用于快速下载与探索）可在此处获取；基于本数据集训练的分割模型也可在此处获取。 更多关于该数据集的详细信息可参阅对应学术论文（该论文描述的是本数据集的第1版）。若您使用本数据集，请引用该论文。本数据集由巴塞尔大学医院研究与分析部门创建。