The Research on Diagnosis System of Quality of Pathology's Morphology
Bao Li-feng · Zhongguo yixue wulixue zazhi · 2010
Objective:To investigate the effect of artificial neural networks on measuring the parameters of morphology of pathology.Methods:A self-organizing competitive neural network is designed and trained using Neural Network Toolbox in MATALB.The input to this network are five morphological parameters(follicle area,perimeter,major diameter,equivalent circle diameter and similar circle degree),and the output is good,general or bad.Results:Trained neural networks can form an accurate classification of the follicles.Conclusions:Diagnosis the follicular morphology using artificial neural networks shows a potential prospect of application.