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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MIDOG 2021与2022挑战赛所使用数据集的扩展版本。本数据集提供了来自7种形态学特征各异的肿瘤类型、共计503份组织学标本的感兴趣区域（ROI）图像，涵盖乳腺腺癌、肺腺癌、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。数据集包含的人类与犬类样本，均由多家人类病理学实验室与兽医学病理学实验室采用标准苏木精-伊红（H&E）染色剂完成处理与染色，并通过多款数字化全玻片扫描仪完成数字化扫描。我们为11937个有丝分裂象提供了标注标签，所有标注先经两名病理学家开展盲法共识审核，以区分14351个疑似假有丝分裂细胞；对于标注存在分歧的样本，则由第三名病理学家作出最终判定。