Our study presents MozzieNet, a customized CNN model aimed at improving the
identification of malaria parasites in blood smear microscopic images. By optimizing …

Abstract Peripheral Blood Smear (PBS) analysis is a vital routine test carried out by medical
specialists to assess some health aspects of individuals. The automation of blood analysis …

Predicting if red blood cells (RBC) are infected with the malaria parasite is an important
problem in Pathology. Recently, supervised machine learning approaches have been used …

Abstract Peripheral Blood Smear (PBS) analysis is a routine test carried out in specialized
medical laboratories by specialists to assess some aspects of health status that are …

Malaria, a dangerous disease caused by Plasmodium, which is spread by being bitten by
infected mosquitoes (Female Anopheles). It is crucial to diagnose malaria pathogens quickly …

Malaria is an infectious disease which poses a major threat to the global health field. The
objective of this research paper is to present an analysis on the main machine-learning …

Malaria is a severe worldwide medical issue that is accountable for approximately one
million losses of life every year. Currently, many developing countries have an increasing …

Malaria is one of the three most serious diseases worldwide, affecting millions each year,
mainly in the tropics where the most serious illnesses are caused by Plasmodium …

Peripheral Blood Smear (PBS) analysis is a routine test carried out in specialized medical
laboratories by specialists to assess some aspects of health status that are measured and …

Malaria is an infectious disease which poses a major threat to the global health field. The
objective of this research paper is to present an analysis on the main machine-learning …