Computer-aided medical image analysis plays a significant role in assisting practitioners for expert clinical diagnosis and deciding the optimal treatment plan. At present, convolutional neural networks (CNNs) are preferred choice analysis. In addition, with rapid advancements three-dimensional (3D) imaging systems availability of excellent hardware software support to process large volumes dat...

Purpose: The purpose of the current research was to identify, quantify and prioritize the components of reducing the resistance of managers of government organizations in the administrative transformation plan. Methodology: The mixed research method is based on exploratory mixed research. The statistical population in the qualitative section was university professors, managers and experts of e...

OBJECTIVE To retrospectively compare the accuracy of the initial MRI (magnetic resonance imaging) report of referring radiologists and the second opinion report. MATERIAL AND METHODS MRI of 155 patients presenting with a soft tissue tumor (STT) in a single large community center were referred for inclusion in the Belgian Soft Tissue Neoplasm Registry (BSTNR). The initial report and the second...

Expert systems, and artificial intelligence more generally, can provide a useful means for representing decisionmaking processes. By linking expert systems software to simulation software, an effective means of including these decision-making processes in a simulation model can be achieved. This paper demonstrates how a commercial off-the-shelf simulation package Witness can be linked to an exp...