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The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.

MIDOG++数据集是对MIDOG 2021与2022挑战赛所使用数据集的扩展。本数据集提供了来自503份组织学标本的感兴趣区域（Region of Interest, ROI）图像，涵盖7种形态各异的肿瘤类型，分别为乳腺癌、肺癌、淋巴肉瘤、神经内分泌肿瘤、皮肤肥大细胞瘤、皮肤黑色素瘤以及（亚）皮下软组织肉瘤。本数据集包含人类与犬类样本，这些样本由不同的人类及兽医病理实验室采用标准苏木精-伊红（Hematoxylin and Eosin, H&E）染料进行处理与染色，并通过不同的数字全切片图像扫描仪完成数字化。本数据集为11937个有丝分裂象（mitotic figures）提供了标注标签；所有标注均经过两位病理学家的盲法共识判定，以区分14351个伪似细胞；对于存在分歧的标签，将由第三位病理学家给出最终裁决。