AUGMENTED REALITY AND APPLICATION SAMPLE ON EDUCATION
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): MUSTAFA ULAS , SEVILAY ULAS
Abstract: Augmented reality (AR) is a technology which is getting more popular in recent years. Augmented reality can work with many platforms, such as mobile devices, embedded and desktop systems. As it has many applicable area, one of the efficient area of AR is education. Supporting materials must be used to improve the quality of learning in education. Especially innovative tools that support visual learning method has an important place in education. The studies which revealed the significance of the visual education increased the needs for the advanced educational materials. In this study, we have tried to give information about augmented reality and innovative tools that support visual learning methods. A sample innovative augmented reality application has been given for education. We indicate the methodology of the study and application results.
- Publication Date: 21-Dec-2014
- DOI: 10.15224/978-1-63248-034-7-47
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MAMMOGRAPHIC MASS CLASSIFICATION BY USING A NEW NAÏVE BAYESIAN CLASSIFIER
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): MURAT KARABATAK
Abstract: Mammography is considered as the most effective method for breast cancer screening. It is effective, but it suffers from the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to approximately 70% unnecessary biopsies with benign outcomes. Recently, several computer-aided diagnosis (CAD) systems have been proposed to reduce the high number of unnecessary breast biopsies. Thus, in this paper, we propose a decision support system for helping the physicians in their decision to perform a breast biopsy on a suspicious lesion seen in a mammogram or to perform a short term follow-up examination instead. To accomplish this aim, we used a weighted Bayesian classifier. Naïve Bayesian (NB) is known to be the simple classifier and there have been so many applications in the literature. We conduct several experiments to evaluate the performance of the weighted NB on mammographic mass classification database. The experiments were realized with 5-fold cross
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-034-7-48
- Views: 0
- Downloads: 0