Deep learning method for malaria parasite evaluation from microscopic blood smear.

Journal: Artificial intelligence in medicine
PMID: 40107120

Abstract

OBJECTIVE: Malaria remains a leading cause of global morbidity and mortality, responsible for approximately 5,97,000 deaths according to World Malaria Report 2024. The study aims to systematically review current methodologies for automated analysis of the Plasmodium genus in malaria diagnostics. Specifically, it focuses on computer-assisted methods, examining databases, blood smear types, staining techniques, and diagnostic models used for malaria characterization while identifying the limitations and contributions of recent studies.

Authors

  • Abhinav Dahiya
    Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India.
  • Devvrat Raghuvanshi
    Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India.
  • Chhaya Sharma
    Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India.
  • Kamaldeep Joshi
    Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India. Electronic address: kduiet@mdurohtak.ac.in.
  • Ashima Nehra
    Centre for Biotechnology, Maharshi Dayanand University, Rohtak- 124 001, Haryana, India.
  • Archana Sharma
    Centre for Biotechnology, Maharshi Dayanand University, Rohtak- 124 001, Haryana, India.
  • Radha Jangra
    Centre for Biotechnology, Maharshi Dayanand University, Rohtak- 124 001, Haryana, India.
  • Parul Badhwar
    Department of Biotechnology, Baba Mastnath University, Rohtak- 124 001, Haryana, India.
  • Renu Tuteja
    Plant Molecular Biology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi - 110067, India.
  • Sarvajeet S Gill
    Centre for Biotechnology, Maharshi Dayanand University, Rohtak- 124 001, Haryana, India. Electronic address: ssgill14@mdu.ac.in.
  • Ritu Gill
    Centre for Biotechnology, Maharshi Dayanand University, Rohtak- 124 001, Haryana, India. Electronic address: ritu_gill@mdu.ac.in.

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