Merged Multi-Organ Abdominal CT Segmentation Dataset

Description The abdominal CT images and reference segmentations were drawn from three datasets: the Beyond the Cranial Vault (BTCV) Abdomen dataset [1], the Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 dataset [2], and the TotalSegmentator dataset [3]. Given the class differences among the three datasets, their consolidation requires the elimination of several classes, resulting in a unified dataset of 680 CT images comprising 12 classes common to all three, including: Spleen Right Kidney Left Kidney Gallbladder Esophagus Liver Stomach Aorta Inferior Vena Cava Pancreas Right Adrenal Gland Left Adrenal Gland The original work for which this dataset was created can be found in this GitHub repository. Terms of use The terms of use of this data set include the terms of use of the Beyond the Cranial Vault (BTCV) Abdomen dataset (terms of use; after registration, you can access the data), Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 dataset (terms of use and data access), and TotalSegmentator dataset (terms of use and data access). If you use these reference segmentations, please cite the references below. References [1] Landman BA, Xu Z, Igelsias JE, Styner M, Langerak TR, and Klein A, "MICCAI multi-atlas labeling beyond the cranial vault - workshop and challenge," 2015, https://doi.org/10.7303/syn3193805. [2] Ji, Yuanfeng, et al. "Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation." Advances in Neural Information Processing Systems 35 (2022): 36722-36732. [3] Wasserthal, J., Breit, H. C., Meyer, M. T., Pradella, M., Hinck, D., Sauter, A. W., ... & Segeroth, M. (2023). Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images. Radiology: Artificial Intelligence, 5(5).数据集说明 本数据集的腹部计算机断层扫描（CT）图像与参考分割掩码源自三类数据集：《颅腔之外（Beyond the Cranial Vault, BTCV）腹部数据集》[1]、《2022年多模态腹部多器官分割挑战赛数据集》[2]以及《TotalSegmentator数据集》[3]。鉴于三类数据集的类别存在差异，整合时需剔除部分不统一的类别，最终得到包含680幅CT图像的统一数据集，涵盖三类数据集共有的12个类别，具体如下： 脾脏、右肾、左肾、胆囊、食管、肝脏、胃、主动脉、下腔静脉、胰腺、右肾上腺、左肾上腺。 本数据集所依托的原始研究可于该GitHub仓库中获取。 使用条款 本数据集的使用条款需遵循《颅腔之外（BTCV）腹部数据集》（需注册后方可访问数据及查阅使用条款）、《2022年多模态腹部多器官分割挑战赛数据集》（包含使用条款与数据获取方式）以及《TotalSegmentator数据集》（包含使用条款与数据获取方式）的相关规定。若您使用本数据集的参考分割掩码，请引用下述文献。 参考文献 [1] Landman BA、Xu Z、Igelsias JE、Styner M、Langerak TR及Klein A，"MICCAI颅腔之外多图谱标注——研讨会与挑战赛"，2015年，https://doi.org/10.7303/syn3193805。 [2] Ji Yuanfeng等，"AMOS：面向通用医学图像分割的大规模腹部多器官基准数据集"，《神经信息处理系统进展》第35卷（2022年）：36722-36732。 [3] Wasserthal J、Breit HC、Meyer MT、Pradella M、Hinck D、Sauter AW等及Segeroth M（2023），"TotalSegmentator：CT图像中104种解剖结构的鲁棒分割"，《放射学：人工智能》第5卷第5期。