A chest X-ray uses ionizing radiation to look at structures inside the chest. This test examines the lungs, heart, and chest wall to diagnose many medical conditions. A chest X-ray can also help healthcare providers monitor the progress of a medical condition to determine if treatment has be...
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Chest X-rayChildrenThese results suggest that CXR can replace CT for the follow-up of patients after the Nuss procedure, with lower radiation exposure.doi:10.1007/s00595-020-02020-8Matsuura, ReiDepartment of Pediatric Surgery, Graduate School of Medicine, Osaka University, Osaka, JapanTazuke, ...
Preprocessing is an essential task for the correct analysis of digital medical images. In particular, X-ray imaging might contain artifacts, low contrast, diffractions or intensity inhomogeneities. Recently, we have developed a procedure named PACE that is able to improve chest X-ray (CXR) images...
Pneumonia is one of the diseases that causes the most fatalities worldwide, especially in children. Recently, pneumonia-caused deaths have increased dramatically due to the novel Coronavirus global pandemic. Chest X-ray (CXR) images are one of the most readily available and common imaging modality...
The study provides a detailed description for each of the architectures, and through the results, the best of them is concluded, which can achieve superior detection accuracy. Furthermore, we provide a comprehensive evaluation of different deep learning architectures using public digital chest X-ray ...
Chest X-ray (CXR) is usually the first diagnostic tool used in evaluating patient’s lungs. Pulmonary emphysema is the main component of COPD characterized by permanent dilation of air spaces distal to terminal bronchioles [25]. Conventional CXR is commonly used to demonstrate the presence of ...
x-rays are emitted in all directions, but because of the construction of the tube, only the few that escape through the window are actually used; the rest are absorbed harmlessly into the wall of the x-ray machine (Fig. 10-1). X-rays are not reflected like light rays but penetrate ...
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network applied to the task of tuberculosis diagnos...
The documentation in this README assumes the user is training a binary classifier, which is set by default inconfig.yml. The user has the option of training a model to perform binary prediction on whether the X-ray exhibits signs of COVID-19 or training a model to perform multi-class cla...