Data for Cerny Oliveira et al. A Machine Learning Approach to Automate Microinfarct and Microhemorrhage Screening in Hematoxylin and Eosin-stained Human Brain Tissues
Data for Cerny Oliveira et al. A Machine Learning Approach to Automate Microinfarct and Microhemorrhage Screening in Hematoxylin and Eosin-stained Human Brain Tissues
Dataset containing 66 de-identified whole slide images (WSIs) with names matching table names in paper. Paper: "A Machine Learning Approach to Automate Microinfarct and Microhemorrhage Screening in Hematoxylin and Eosin-stained Human Brain Tissues" Details: A total of 66 .svs/.czi WSIs, de-identified using svs-deidentifier v 0.9.1-beta (https://github.com/pearcetm/svs-deidentifier/releases)/macro provided by Carl Zeiss respectively. Evaluation and training were conducted on original files with identifiers. Dataset is uploaded in batches due to Zenodo data upload limitations. Slide curation/preparation: All samples were retrieved from archives of the University of California, Davis Alzheimer’s Disease Center Brain Bank (https://www.ucdmc.ucdavis.edu/alzheimers/). Archival samples analyzed in this study were 5 μm formalin fixed, paraffin embedded sections of the superior and middle temporal gyrus from human brain. The tissue had been previously stained with hematoxylin and eosin. All slides were digitized using an Aperio AT2 or Axio Scan Z1 between 20x and 40x magnification. Code: Please refer to https://github.com/ucdrubinet/Infarct
- University of California, Davis United States
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