B-MIPT: A Case Tool for Biomedical Image Processing and Their Classification Using Nearest Neighbor and Genetic Algorithm

Abstract

A high rate of expression of Endothelin protein in the placental cell is very much regulated by inhalation of tobacco smoke and leads to placental abnormalities subjected to birth failure. Our application developed using Image Processing [1-7], Nearest Neighbor algorithm (NN) and Genetic Algorithms (GA) [8-12], automates the study of these proteins to assist pathologists and lab technicians in achieving a more efficient and faster diagnosis. Using three distinct parameters, recognition of images with high protein expression was accurate up to 91% of the times. The tool has achieved a Matthews Correlation Coefficient (MCC) of 0.91. Other performance measures are = 91.1%, sensitivity = 0.91 and specificity = 0.82. These showed that computer aided diagnosis can be a helpful tool, especially in a field that lacks experienced specialists.