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 ty
Summary of the labeling accuracy obtained for the test set, for all the discrimination problems at STE. They include the accuracy (total and by tumor type); the number of correctly labeled samples fro
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 ty
