Classification of malaria using object detection models

HIGHLIGHTS

• who: Padmini Krishnadas and collaborators from the Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka, India have published the research work: Classification of Malaria Using Object Detection Models, in the Journal: Informatics 2022, 76 of /2022/
• what: The authors propose a method for the automated classification of malarial parasites and the stage of progression of the disease from Giemsa-stained blood smears obtained from the patients. The paper sheds light on how the YOLO algorithm was born to reframe the object detection problem as a regression problem . . .
  

   

  

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