Local binary patterns and Unser texture descriptions to the fold detection on the whole slide images of meningiomas and oligodendrogliomas

Abstract

The paper presents a method for an automatic folds detection in the whole slide images to support the pathomorphological diagnostic procedure. The studied slides represent the meningiomas and oligodendrogliomas tumour stained with the Ki-67/MIB-1 immunohistochemical reaction. The proposed method is based on texture analysis (local binary pattern and Unser), mathematical morphology and Support Vector Machine classification. The fold area detection is a necessary preprocessing step in the automatic examination of the histological specimens, such as hot-spot selection, quantitative evaluation etc. The results of the automatic fold detection were compared with the expert’s annotations. The achieved results confirm efficiency of the proposed solutions.