Abstract:
Malaria is a mosquito borne fatal and infectious disease of humans. It is caused by the
bite of the anopheles mosquito that is infected by the plasmodium species. The
standard procedure for the diagnosis of malaria is done through the microscopic
examination of blood of the patient by the pathologist manually.
This project is intended to support the Phathologist of any laboratory or hospital
during the diagnosis of malaria.The aim of this project is to predict the type of
malarial parasites present in the image of the blood films and to reduce the chances of
the human errors that can be caused due to the manual microscopic examination.
During our research we found that currently no automated system system exist for the
detection of the malarial parasites in the thin and thick blood smears. We were able to
find the different techinques for an automated system but were unable to find any
developed system.So we reliazed it is extremely important to have an automated
malarial parasite detection system because manual detection of malaria through the
microscope puts the patient under high risk of human error as well as this requires the
extensive skills and experience of the pathologist for the identification of the malarial
parasites. Especially in rural areas where there are lack of skilled and experienced
laboratory technicians where the chances of human error increases, which in turn can
result into fatal condition.
MPDS will significantly help Phathologists
