Dataset: Whole blood count, used in: "AIDeveloper: deep learning image classification in life science and beyond"
Martin Kräter, Shada Abuhattum, Despina Soteriou, Angela Jacobi, Thomas E Kruger, Jochen R. Guck, Maik Herbig · Zenodo (CERN European Organization for Nuclear Research) · 2020
Real-time deformability cytometry (RT-DC) data of whole blood measurements. Data was used to train and validate a neural net to perform a blood count based on brightfield images of RT-DC. 01_Model: Contains the final model as well as an AIDeveloper meta-file that allows to reproduce the training procedure. The metafile preciesely defines which dataset was used for training and which for validation as well as all parameters that were set in AIDeveloper. The following folders contain data that was used for training (and validation): Cambr KIK 20190306_DextranBlood_AI_DataSet Gs_Blood_Train Testing data is stored on figshare: https://figshare.com/articles/Krater_et_al_2020_Data_zip/9902636