I want to create a malaria detection model for my college project and my cv using deep learning and computer vision, how do I start
Do you have any experience with deep learning, and do you have experience programming in Python?
Do you have a clear idea of the goals of your project?
Do you have a dataset that supports your goal?
3 Likes
I suggest that the first step is understand the related medical domain. Malaria means presence of at least one of the two Plasmodium parasites, but particularly Plasmodium falciparum, in a person’s red blood cells. So detecting malaria really means detecting Plasmodium. Currently, that is only possible through examination of a blood sample, either through examining smears on a slide or through immunochromatographic tests.
Which part of that do you hope to change/improve? Replace existing tests with ML that is better/faster/cheaper? Keep most of the existing process but replace human visual examination of the samples/slides? Remove the need for blood analysis altogether? Concentrate instead on the public health level?
I also recommend letting the ‘business problem’ drive the technology, rather than starting with a solution and trying to find something to do with it. Maybe computer vision isn’t the right technology to apply to malaria detection, but some other branch of ML is.
Let us know where your inquiry leads.
Hi Aashka. This is an example malaria deep learning project that you can refer to:
It includes model training and deployment. It will help you understand the step by step workflow that you need to follow. Good luck with your project.
3 Likes
The research linked above seems to be one of these … it works on a blood smear slide.