Dear Colleagues,
I am looking for a person to collaborate with in a research to develop an efficient and a robust automatic method for Malaria diagnosis, which advances the current state-of-the-art technology. The method uses the blood slide images to enumerate the number of infected and healthy RBCs. But, these results should be validated against the traditional approach to diagnose Malaria.
Currently, the model has been theorized and what is missing is to have as many experiments as possible from real lab data. In the future, the research may proceed to incorporate the proposed model into some portable devices, like mobile phones, such that individuals may be able to self-determine their parasitemia levels without visiting hospitals (in situations where patients do not have access to hospitals).
Just as a disclaimer, the research is not funded by any Organization or Company, and is personal for now. The only thing I can guarantee at the moment is co-authorship (if an individual would like to be included in the authorship page). We are about four engineers, and more details of the method may be revealed when we set some terms with a volunteer. Below are the things we specifically require in the research:
Just for emphasis, now the research is in the simulation stage; the later stage of implementing the algorithm in the real hardware will be considered the next phase of the research.
Anyone with interest, you are kindly welcome. You may either use this forum for communication, and all comments will be noted. Alternatively, you may use private message me