A Proposal on the Glioma Subtypes Clustered Method Using Histopathology Image Analysis

Abstract

In the field of histopathology, characteristics analysis for pathology images was made a study for devising precision medicine and patient-specific diagnosis. Our research group is currently addressing the problem of recognizing and extracting quantitative features from Glioma images by defining, counting, and measuring morphological characteristics that can to serve as fundamental data elements capable of distinguishing key disease types and subtypes. Actually, subtypes of Glioma is not specified so far. Moreover, disease stages of Glioma are determined by a combination of genes. Therefore, even if the given tissue images belong to the same grade, the patterns of gene expression are different among patients. The final goal of this study, we specify subtypes of Glioma from histopathological images for precision medicine by genes expressions level.