1 research outputs found
Medical Aid for Automatic Detection of Malaria
The analysis and counting of blood cells in a microscope image can provide
useful information concerning to the health of a person. In particular,
morphological analysis of red blood cells deformations can effectively detect
important disease like malaria. Blood images, obtained by the microscope, which
is coupled with a digital camera, are analyzed by the computer for diagnosis or
can be transmitted easily to clinical centers than liquid blood samples.
Automatic analysis system for the presence of Plasmodium in microscopic image
of blood can greatly help pathologists and doctors that typically inspect blood
films manually. Unfortunately, the analysis made by human experts is not rapid
and not yet standardized due to the operators capabilities and tiredness. The
paper shows how effectively and accurately it is possible to identify the
Plasmodium in the blood film. In particular, the paper presents how to enhance
the microscopic image and filter out the unnecessary segments followed by the
threshold based segmentation and recognize the presence of Plasmodium. The
proposed system can be deployed in the remote area as a supporting aid for
telemedicine technology and only basic training is sufficient to operate it.
This system achieved more than 98 percentage accuracy for the samples collected
to test this system.Comment: 8 pages, International Conference on Computer Information Systems and
Industrial Management Applications 2011. arXiv admin note: text overlap with
arXiv:1312.080