Automatic White Blood Cell Measuring Aid for Medical Diagnosis
This addresses the lack of pathological investigation capabilities in remote regions of developing countries, though it is incremental as it builds on existing telemedicine and automation concepts.
The authors tackled the problem of automating white blood cell detection to support telemedicine in remote areas with limited medical infrastructure, achieving 97.33% accuracy in tests.
Blood related invasive pathological investigations play a major role in diagnosis of diseases. But in India and other third world countries there are no enough pathological infrastructures for medical diagnosis. Moreover, most of the remote places of those countries have neither pathologists nor physicians. Telemedicine partially solves the lack of physicians. But the pathological investigation infrastructure can not be integrated with the telemedicine technology. The objective of this work is to automate the blood related pathological investigation process. Detection of different white blood cells has been automated in this work. This system can be deployed in the remote area as a supporting aid for telemedicine technology and only high school education is sufficient to operate it. The proposed system achieved 97.33 percent accuracy for the samples collected to test this system.