New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images

Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques

Background and Aim: Due to the important role of radiological images for identifying patients with COVID-19, creating a model based on deep learning methods was the main objective of this study. Materials and Methods: 15,153 available chest images of normal, COVID-19, and pneumonia individuals which were in the Kaggle data repository was used as dataset of this research. Data preprocessing inc...

Using deep learning on X-ray images to detect threats

Human identification using chest x-ray images

This paper proposes a new domain of human identification based on the classification of chest x-ray images. Like fingerprint, retina or face images have been used for human identification, the question whether chest x-ray images can provide valid, accurate and reliable information about the identity of an individual has not been investigated so far and is thus proposed here. Various approaches ...

Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer

Efficiency of some dimensionality reduction techniques, like lung segmentation, bone shadow exclusion, and tdistributed stochastic neighbor embedding (t-SNE) for exclusion of outliers, is estimated for analysis of chest X-ray (CXR) 2D images by deep learning approach to help radiologists identify marks of lung cancer in CXR. Training and validation of the simple convolutional neural network (CN...

Patient effective dose evaluation for chest X-ray examination in three digital radiography centers

Background: The radiation doses resulting from diagnostic X-ray examinations are routinely measured in terms of entrance surface dose (ESD) and effective dose (ED). In this study, for the purpose of radiation protection, the radiation doses received from Digital chest X-ray examination were evaluated in terms of ESD and ED. Material and Methods: The ED was calculated by using the MCNP ...