%0 Journal Article 
%T Automated image analysis method for p-vivax malaria parasite detection in thick film blood images
%J Sistemas y Telemática;Vol. 10, No. 20
%D 2012
%@ 16925238
%U http://www.icesi.edu.co/revistas/index.php/sistemas_telematica/article/view/1151
%X An image analysis method for Malaria parasite detection
in thick film blood images is described. The developed
method uses a combination of AGNES [Absence of gradients and Nernstian equilibrium stripping] and Morphological Gradient techniques in the image segmentation stage. Wavelet-based feature extraction is followed by a neural network classification stage.
Principal Component Analysis (PCA) is used to reduce
the number of features and improve the performance
of the neuronal network. The true positive rate for
determining a specific parasite was of 77.19%, while a 76.45% was obtained in determining at least a parasite in a microscopy image.
%K FACULTAD DE INGENIERÍA
%K MALARIA
%K PRODUCCIÓN INTELECTUAL REGISTRADA - UNIVERSIDAD ICESI
%K REDES NEURONALES
%K MICROSCOPIA
%K ANÁLISIS
%K SISTEMA & TELEMÁTICA
%~ GOEDOC, SUB GOETTINGEN