Today, kidney stone detection is done manually on medical images. This process time-consuming and subjective as it depends the physician. study aims to classify healthy or patient persons according status of stones from images using various machine learning methods Convolutional Neural Networks (CNNs). We evaluated such Decision Trees (DT), Random Forest (RF), Support Vector Machines (SVC), Mul...

introduction the purpose of this study was to estimate organ and effective doses in patients undergoing some common x-ray examinations in sabzevar, iran. the effective dose is one of the best parameters for describing the amount of radiation dose received by a patient undergoing any diagnostic x-ray examination. the public dose from x-ray examinations depends on various factors, and its contrib...