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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挑战赛所用数据集的扩展版本。本数据集提供了覆盖7种形态学特征各异的肿瘤类型、总计503份组织学标本的感兴趣区域（Region of Interest，ROI）图像，涵盖乳腺癌、肺癌、淋巴肉瘤、神经内分泌肿瘤、皮肤肥大细胞瘤、皮肤黑色素瘤以及皮下软组织肉瘤。所有人类与犬类样本均在不同人类病理实验室及兽医病理实验室中，采用标准苏木精-伊红（H&E）染液完成染色制片，并通过多款不同型号的数字全切片扫描设备完成数字化。数据集包含11937个有丝分裂象的标注信息，这些标注经两名病理学家开展盲法共识审核，同时与14351个伪冒细胞进行区分；对于两名病理学家存在标注分歧的样本，则由第三名病理学家作出最终裁定。