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Updated: Sep 30, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
Published on: December 15, 2023
Neural networks method for identification of the objects behind the screen
Elzbieta Ratajewicz-Mikolajczak1, Jan Sikora
1Institute of Electrical Engineering and Electrotechnologies, Lublin Technical University, Poland. elarm.eltecol.pol.lubin.pl
Abstract:
The possibilities of identification of intraventricular haemorrhage with the aid of electrical impedance tomography are presented in this paper. On the base of the tomographic image of a human brain (see Fig. 1) a simplified two-dimensional mathematical model of the human head is proposed. The mathematical model is relatively poor, but the main purpose of this paper is to investigate the possibility and precision of the identification procedure. This task is particularly difficult because the object is hidden behind the skull, which becomes a low-conductivity screen when the scalp electrodes are used.
