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挑战赛所用数据集的扩展版本。我们提供了来自7种形态学特征各异肿瘤类型的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（breast carcinoma）、肺癌（lung carcinoma）、淋巴肉瘤（lymphosarcoma）、神经内分泌肿瘤（neuroendocrine tumor）、皮肤肥大细胞瘤（cutaneous mast cell tumor）、皮肤黑色素瘤（cutaneous melanoma）以及（皮下）软组织肉瘤（(sub)cutaneous soft tissue sarcoma）。本数据集涉及的人类与犬类样本均在不同的人类病理实验室及兽医病理实验室中，以标准苏木精-伊红（hematoxylin-eosin, H&E）染色剂完成处理与染色，并通过多款数字化全切片扫描仪完成数字化扫描。我们为11937个有丝分裂象（mitotic figures）提供了标注：所有标注均由两名病理学家通过盲法共识完成审核，与14351个冒充细胞（imposter cells）进行区分；对于标注存在分歧的样本，则由第三名病理学家作出最终裁定。