It is with a heavy heart that I announce the upcoming shutdown of my website on January 1, 2015. This platform has been a significant part of my life, filled with countless memories, meaningful connections, and shared moments that I will forever cherish. Although this decision was not an easy one, circumstances have left me with no other choice. I want to express my deepest gratitude to everyone who supported me and joined me on this journey. Your kindness and encouragement have meant the world to me. As we part ways, I wish each of you peace, joy, and lasting happiness in your lives.
Thank you for everything.
The Detection of Normal Blood Cells 1.1 APKs
- Version: 1.1
- File size: 16.53MB
- Requires: Android 5.0+
- Package Name: com.blood_cells_falahgs_detection
- Developer: Falah G.Salih
- Updated Aug 10, 2021
- Price: Free
- Rate 4.80 stars – based on 435 reviews
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
