Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...

purpose: the purpose of the present study is to investigate the image search and retrieval problems in selected search engines in relation to the persian writing style challenges. methodology: this study is an applied one. in orderto answer the questions an evaluative method and direct observation were used. the aim of the research is to explore the morphological and semantic problems of persia...

IntroductionA fine balance of image quality and radiation dose can be achieved by optimization to minimize stochastic and deterministic effects. This study aimed in ensuring that images of acceptable quality for common radiographic examinations in digital imaging were produced without causing harmful effects. Materials and MethodsThe study was conducted in three phases. The pre-optimization inv...

In this paper we propose a novel scheme for efficient content-based medical image retrieval, formalized according to the PANDA (PAtterns for Next generation Database systems) framework. The proposed scheme involves low-level feature extraction from image regions followed by clustering of the feature space to form higher-level patterns. The components of each pattern include a cluster representa...

Radiographic image is the final product of imaging department and it passes through many steps before viewing. To achieve the ideal images with high quality and lowest possible radiation dose to the patient, one should take care during each stage of image formation which isn’t only practiced by one person who is designated to do that, It is the responsibility of everybody in the facility to imp...