CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images

This is the dataset from the preprint "Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images" by Raufeisen et al. (2024). It contains 6,683 annotations (3,991 nuclei and 2,607 whole cells) of head and neck squamous cell carcinoma cells in hematoxylin and eosin stained histological images. The annotations are in COCO format and distributed over 83 PNG images. Cyto R-CNN was trained on this dataset and compared with other state-of-the-art methods. The CytoNuke dataset is released under the CC BY-NC-SA 4.0 license. The histological images are from the CPTAC dataset: National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2018). The Clinical Proteomic Tumor Analysis Consortium Head and Neck Squamous Cell Carcinoma Collection (CPTAC-HNSCC) (Version 15) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2018.UW45NH81 Funding: Behrus Puladi was funded by the Medical Faculty of RWTH Aachen University as part of the Clinician Scientist Program. We acknowledge FWF enFaced 2.0 [KLI 1044, https://enfaced2.ikim.nrw/] and KITE (Plattform für KI-Translation Essen) from the REACT-EU initiative [https://kite.ikim.nrw/, EFRE-0801977]. Fabian Hörst, Jianning Li, Jens Kleesiek and Jan Egger received funding from the Cancer Research Center Cologne Essen (CCCE).本数据集源自Raufeisen等人2024年的预印本论文《Cyto R-CNN与CytoNuke数据集：实现明场组织学图像中的可靠全细胞分割》。该数据集包含6683组标注（其中细胞核标注3991个，全细胞标注2607个），对应苏木精-伊红染色的头颈部鳞状细胞癌细胞组织学图像。所有标注均采用COCO格式（COCO），分布于83张PNG图像中。研究团队使用本数据集训练Cyto R-CNN模型，并将其与其他当前前沿的先进方法进行了对比实验。CytoNuke数据集采用CC BY-NC-SA 4.0协议发布。本数据集所用的组织学图像源自CPTAC数据集（CPTAC）：美国国家癌症研究所临床蛋白质组肿瘤分析联盟（CPTAC）于2018年发布的《头颈部鳞状细胞癌数据集（CPTAC-HNSCC，版本15）》[数据集]，收录于癌症影像档案（The Cancer Imaging Archive），DOI：10.7937/K9/TCIA.2018.UW45NH81。资助说明：Behrus Puladi受亚琛工业大学（RWTH Aachen University）医学院临床科学家项目资助。本研究感谢FWF enFaced 2.0项目[KLI 1044, https://enfaced2.ikim.nrw/]以及REACT-EU倡议框架下的KITE（埃森人工智能转化平台）[https://kite.ikim.nrw/, EFRE-0801977]提供的支持。Fabian Hörst、李建宁、Jens Kleesiek与Jan Egger受到科隆-埃森癌症研究中心（CCCE）的资助。