Using the dataset from The mini-MIAS database of mammograms. http://peipa.essex.ac.uk/info/mias.html

pionono model from https://github.com/arneschmidt/pionono_segmentation.git , Jupyter notebook only for running debugging in Google colab

Glason 2019 dataset (https://gleason2019.grand-challenge.org/Home/ ): Nir G, Hor S, Karimi D, Fazli L, Skinnider BF, Tavassoli P, Turbin D, Villamil CF, Wang G, Wilson RS, Iczkowski KA. Automated grading of prostate cancer in digital histopathological images: learning from multiple experts. Medical Image Analysis. 2018 Dec 1;50:167-80. The procedures in the document were used to process the dataset

Prostate Cancer Tissue Microarray Dataset (https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYCMP): E. Arvaniti, K. Fricker, M. Moret, N. Rupp, T. Hermanns, C. Fankhauser, N. Wey, P. Wild, J. H. Rüschoff, and M. Claassen, ‘Replication Data for: Automated Gleason Grading of Prostate Cancer Tissue Microarrays by Deep Learning,’ Harvard Dataverse, 2018. doi: 10.7910/DVN/OCYCMP. [Online]. Available: https://doi.org/10.7910/DVN/OCYCMP