Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

@article{Alzubaidi2020DeepLM,
  title={Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis},
  author={Laith Alzubaidi and Mohammed Abdulraheem Fadhel and Omran Al-Shamma and Jinglan Zhang and Ye Duan},
  journal={Electronics},
  year={2020},
  volume={9},
  pages={427}
}
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death. The key function of red blood cells (erythrocytes) is to supply all the parts of the human body with oxygen. Red blood cells (RBCs) form a crescent or sickle shape when sickle cell anemia affects them. This abnormal shape makes it difficult for sickle cells to move through the bloodstream, hence decreasing the oxygen… 

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