Untitled Item

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。本数据集包含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、皮肤黑素瘤以及（皮下）软组织肉瘤。所有人类与犬类样本均由不同的人类病理学及兽医学实验室采用标准苏木精-伊红（H&E）染色方案进行处理，并通过多款数字化全玻片扫描仪完成数字化扫描。数据集标注了11937个有丝分裂象，这些标注经由两名病理学家开展盲法共识审核，需从14351个伪有丝分裂细胞中甄别出目标有丝分裂象；对于标注存在分歧的样本，将由第三名病理学家作出最终裁定。