Robust image processing framework for intelligent multi-stage malaria parasite recognition of thick and thin smear images

HIGHLIGHTS

• who: Thaqifah Ahmad Aris et al. from the Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis, UniCITI Alam Campus have published the Article: Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images, in the Journal: Diagnostics 13, x FOR PEER ELM REVIEW Classify 2023, malaria parasite and OS-ELM non-malaria parasite Random forest of /2023/
• what: The analysis of a thick blood smear is used for parasite detection. The significance and inspiration for conducting this study have been described in this paragraph. Most of the . . .
  

   

  

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