Automated white blood cell disease recognition using lightweight deep learning

HIGHLIGHTS

• who: Mohemmed Sha from the College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Saudi Arabia have published the research work: Automated White Blood Cell Disease Recognition Using Lightweight Deep Learning, in the Journal: (JOURNAL)
• what: For the pre-processing phase, this study has offered three successive calculations.
• how: The authors proposed an automated deep learning approach for classifying white blood disorders in this paper. The experiment was carried out using a dataset of increased blood diseases imaging and resulted in an improved accuracy of over 99%. In this work the . . .
  

   

  

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