Traditional and deep learning-oriented medical and biological image analysis.

We investigated various methods for image segmentation and image processing for the segmentation of MRI of human medical data, as well as bioinformatics for the segmentation of brain cell details, in this work. The goal is to demonstrate and bring various mathematical analyses for medical and biological image analysis. We proposed new software and methods for improving the segmentation of biological and medical data.

Classification of Geometric Forms in Mosaics Using Deep Neural Network.

The paper addresses an image processing problem in the field of fine arts. In particular, a deep learning-based technique to classify geometric forms of artworks, such as paintings and mosaics, is presented. We proposed and tested a convolutional neural network (CNN)-based framework that autonomously quantifies the feature map and classifies it.

Analyses of tumor cells by mathematical models.

In this contribution we present graph theoretical approach to image processing focus on biological data. We use the graph cut algorithms and extend them for obtaining segmentation of biological data. We deal with tumor brain cells and rats brain to show the existence and presence of inflammatory molecules.

Iron deposition in rabbit cerebellum after exposure to generated and mobile GSM electromagnetic fields.

Background: Mobile phone application may cause structural, functional changes and accumulation of toxic elements in brain.

Objectives: The aim of this study was to investigate iron accumulation in rabbit cerebellum after exposure to RF EMF with light and scanning electron microscopy.

Materials And Methods: Histochemical analysis of iron distribution by light and electron microscopy with energy-dispersive microanalysis was used.

Use of graph algorithms in the processing and analysis of images with focus on the biomedical data.

Introduction: Image segmentation is a known problem in the field of image processing. A great number of methods based on different approaches to this issue was created. One of these approaches utilizes the findings of the graph theory.