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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挑战赛所用数据集的扩展。本数据集提供了503例组织学标本的感兴趣区域（region of interest, ROI）图像，涵盖7种具有多样形态学特征的肿瘤类型：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。本数据集的人类与犬类样本均在不同的人类病理及兽医病理实验室中完成制片与苏木精-伊红（Hematoxylin and Eosin, H&E）染色，并通过多款数字病理全玻片扫描仪完成数字化处理。数据集为11937个有丝分裂象（mitotic figure）提供了标注：两名病理学家以盲法共识的方式，将其与14351个伪细胞进行甄别；对于标注存在分歧的样本，则由第三名病理学家给出最终判定。