WEEK 1 : Malaria Parasite Classification
Hi everyone! We are a group of three people undergraduate students of Hacettepe University.The members of our group are Cem Bektaşoğlu, Furkan Yılmaz and Burak Aydemir.
We will share information about this project for our machine learning lesson from this blog. First of all, we will explain what our project is and what solution it brings.
What is Malaria?
Malaria is transmitted to humans by the bite of a female anopheles mosquito infected with parasites. It is an acute febrile disease with an average incubation period of 7 days. Symptoms occur on average 7–30 days after going to the malaria-endemic region.
The definitive diagnosis of malaria is made by microbiological examination. The most widely used method in microbiological diagnosis all over the world is to examine the preparations prepared by staining and staining the blood taken from the finger tip of the patient under the light microscope. Early diagnosis and appropriate treatment can save lives. In particular, falciparum malaria may cause death if treatment is postponed for more than 24 hours.
Dataset
The data we will use in our project consists of cell images under the microscope. There are 27,560 images in our data set. Half of them are healthy cells, while the rest are diseased cells.
Whats Our Purpose?
There will be two kinds of classes as parasitic and healthy cells by classification according to cell pictures. So we will detect if the cells are parasitic.
Next week, we will focus on the work related to our project. By examining and explaining the methods used in detail, we will try to choose the most suitable method for our project.
See you next week…
