App. is know the Detection of Regular Blood Cells for 8 teams of regular human blood cells .through the use of machine studying know-how within the discipline of synthetic intelligence . utilizing the Neural networks algorithms and Tensorflow framework API . should utilizing clear blood cells photographs to get finest detetcion and accurecy. The dataset incorporates a complete of 17,092 photographs of particular person regular cells, which have been acquired utilizing the analyzer CellaVision DM96 within the Core Laboratory on the Hospital Clinic of Barcelona. The dataset is organized within the following eight teams: neutrophils,eosinophils, basophils, lymphocytes, monocytes, immature granulocytes (promyelocytes, myelocytes, and metamyelocytes), erythroblasts and platelets or thrombocytes.
particular thanks for docs of on the Hospital Clinic of Barcelona
for assist me to get enormous dataset
particular thanks for docs of on the Hospital Clinic of Barcelona
for assist me to get enormous dataset
Cite this dataset
Acevedo, Andrea; Merino, Anna; Alferez, Santiago; Molina,
Ángel; Boldú, Laura; Rodellar, José (2020),
“A dataset for microscopic peripheral blood cell photographs for improvement
of computerized recognition techniques”,
Mendeley Knowledge, V1, doi: 10.17632/snkd93bnjr.1
E mail: falahgs07@gmail.com
