Decreasing radiation exposure on pediatric portable chest Methods: Children aged 24 months or younger were intubated and received daily morning chest radiographs to determine endotracheal tube placement. Results: For each measurement, the amount of scatter radiation decreased by more than 20% from a nonshielded exposure to a shielded exposure. Discussion: There was a significant decrease in scatter
Deep learning for classification of pediatric chest · Methods: We trained a deep learning model to classify pneumonia CXRs in children using the World Health Organization (WHO)'s standardized methodology. The model was pretrained on CheXpert, a dataset containing 224,316 adult CXRs, and fine-tuned on PERCH, a pediatric dataset containing 4,172 CXRs. The model was then tested on two pediatric CXR
Decreasing radiation exposure on pediatric portable chest Methods: Children aged 24 months or younger were intubated and received daily morning chest radiographs to determine endotracheal tube placement. Results: For each measurement, the
Deep learning for classification of pediatric chest · Background: The World Health Organization (WHO)-defined radiological pneumonia is a preferred endpoint in pneumococcal vaccine efficacy and effectiveness studies in children. Automating the WHO methodology may support more widespread application of this endpoint. Methods: We trained a deep learning model to classify pneumonia CXRs in children using the
Deep Learning for Chest Radiographs | ScienceDirectAbstract. This chapter describes the methodology adopted for the present work. A brief overview of the CAC system for chest radiographs designed in this book are given as well as a general overview to the need for CAC systems, specifically for chest radiographs, and the importance of CAC systems in current scenarios due to the wide spread of COVID-19.
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Why You Should Ditch That Lead Apron In The X · A chest X-Ray is about 0.01 rem (0.0001 Sv). Dental X-Rays are orders of magnitude lower than that and provide less dose than eating a lot of potato chips.
[1712.00996] Learning to detect chest radiographs · Machine learning approaches hold great potential for the automated detection of lung nodules in chest radiographs, but training the algorithms requires vary large amounts of manually annotated images, which are difficult to obtain. Weak labels indicating whether a radiograph is likely to contain pulmonary nodules are typically easier to obtain at scale by parsing historical
Deep Learning for Chest Radiographs - 1st · Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary
Chest X-ray (Chest Radiography) - Nursing · Chest X-ray (Chest radiography, CXR) is one of the most frequently performed radiological examinations. A chest x-ray is a painless, non-invasive test that uses electromagnetic waves to produce visual images of the heart,
Guidelines for the Wearing of Personal Dosimetry1 · Where to wear your dosimeter: Whole body dosimeters should be worn on the front of the body, in the area of the main torso, anywhere from waist to neck. Individuals who wear lead garments should position the whole body dosimeter at the collar level, outside of any lead protection. Ring dosimeters should be worn on the hand most likely to be
No Shield From X-Rays: How Science Is Rethinking Lead · A Need For Outreach. Public confusion might develop if dentists continue to shield while hospitals don’t. An estimated 275 million medical X-ray exams were performed in the U.S. in 2016, but 320