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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7种形态各异的肿瘤类型共503份组织学标本的感兴趣区域（Region of Interest, ROI）图像，涵盖的肿瘤类型包括乳腺癌、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的人类病理与兽医病理实验室中采用标准苏木精-伊红（Hematoxylin-Eosin, H&E）染色剂进行处理与染色，并通过多款不同的数字全玻片图像扫描仪完成数字化扫描。本数据集为11937个有丝分裂象（mitotic figure）提供了标注：标注过程中，两名病理学家以盲法共识形式对14351个伪分裂象干扰细胞进行区分，对于存在分歧的标注，则由第三位病理学家作出最终裁定。