The Detection of Normal Blood Cells 1.1 APKs

App. is know the Detection of Normal Blood Cells for 8 groups of normal human blood cells .by using machine learning technology in the field of artificial intelligence . using the Neural networks algorithms and Tensorflow framework API . must using clear blood cells images to get best detetcion and accurecy. The dataset contains a total of 17,092 images of individual normal cells, which were acquired using the analyzer CellaVision DM96 in the Core Laboratory at the Hospital Clinic of Barcelona. The dataset is organized in the following eight groups: neutrophils,eosinophils, basophils, lymphocytes, monocytes, immature granulocytes (promyelocytes, myelocytes, and metamyelocytes), erythroblasts and platelets or thrombocytes.
special thanks for doctors of at the Hospital Clinic of Barcelona
for help me to get huge dataset

Cite this dataset

Acevedo, Andrea; Merino, Anna; Alferez, Santiago; Molina,
Ángel; Boldú, Laura; Rodellar, José (2020),
“A dataset for microscopic peripheral blood cell images for development
of automatic recognition systems”,
Mendeley Data, V1, doi: 10.17632/snkd93bnjr.1