The Japanese Journal of the Institute of Industrial Applications Engineers
Online ISSN : 2187-5146
Print ISSN : 2189-373X
ISSN-L : 2187-5146
Paper
Possibility of the Pathological Diagnosis System by SVM that takes into account the Protein Information of Cancer Cells
Hironori KitakazeMasaya ShigemotoTomoko FuruyaHiroshi Matsuno
Author information
JOURNALS OPEN ACCESS

2015 Volume 3 Issue 2 Pages 56-64

Details
Abstract

The cancer cells are known that they have a difference of their growth rate and effect of the medicine even if they are taken from the same site. We can check the progress in the morphological feature extraction using a microscope, but we can’t yet to classify the inherent differences. In this study, we proposed a system that allows for the difficult classification by visual analysis. The method is that first we created a database using a laser scanning cytometer (LSC) from protein information on the cancer cells, and learn the relation between the cancer cells and protein using a support vector machine (SVM). We performed the performance evaluation of recognition system by simulate the unknown cancer cells, and confirmed that there were two kinds of cancer cells that have high recognition rate and slightly inferior rate. Therefore, we report about the experimental verification to investigate that the problem of recognition accuracy.

Information related to the author

This article cannot obtain the latest cited-by information.

© 2015 The Institute of Industrial Applications Engineers
Previous article
feedback
Top