background knowledge of radiology staff in educational hospital can play a major role in improving quality of radiological images and level of medical diagnostic. thus, the purpose of this study, evaluation skill of radiographers is specially radiology sciences. material and methods this study is descriptive and cross-sectional. a questionnaire according to course topics was prepared including ...

Background and Purpose: In some patients, invasive radiology procedures by using anesthetics and contrast may lead to certain reaction. Therefore, consent must be obtained from patients. At the moment, some radiology centers obtain the consent from the patient in some of invasive radiology procedures in Iran. Due to the importance of consent and its position in patients' ethics, and because of ...

Abstract Image stitching is an important way to achieve large‐field high‐resolution imaging. The inconsistencies in brightness and structure defects ghosting, blurring misalignment between images, which are inevitable difficult eliminate, make a challenge image stitching, due the external lighting environment changes camera pose parameters. Here, novel method proposed search for optimal seamlin...

This paper describes a similarity measure for images which can be used in image-based topological localization and topological SLAM problems by autonomous robots with low computational resources. Instead of storing the images in the robot’s memory, we propose a compact signature to be extracted from the images. The signature is based on the calculation of the 2D Haar Wavelet Transform of the gr...

Medical images are crucial in diagnosis, therapy, surgery, reference, and training. The availability of Digital radiology equipment availability has ensured that digital medical images management gets more attention now. This paper presents an automatic classification system for Computed Tomography (CT) medical images are presented in this paper. In the presented methodology, Bi-orthogonal spli...

This work presents a fully automatic system for the screening of chest X-ray images from portable devices under analysis three different clinical categories: normal, pathological cases pulmonary diseases with findings similar to those COVID-19, and COVID-19 cases. Our methodology was validated using dataset retrieved specifically this study, which provided by Radiology Service Complexo Hospital...

Normalized image generation (epipolar resampling) is an important task for automatic image matching. Normalized images facilitate the detection of feature correspondences in the images and therefore provide the advantages of reducing the search space as well as the matching ambiguities. Normalized image generation is a well-established procedure for images captured by frame cameras. Digital fra...