Automating pitted red blood cell counts using deep neural network analysis: a new method for measuring splenic function in sickle cell anaemia

HIGHLIGHTS

• who: Anaemia and collaborators from the Maggiore Policlinico Hospital, Italy University of Naples Federico II, Italy have published the article: Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia, in the Journal: (JOURNAL)
• what: The authors propose a new automated workflow for performing PIT counts and assess the durability of fixed RBCs for PIT counts over time.
• how: Showed that %PIT did not change significantly over this period (p=0.6). By training a deep neural_network to recognise and segment . . .
  

   

  

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