AIMC Topic: Pneumonia
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Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Pneumonia is one of the leading causes of childhood mortality worldwide. Chest x-ray (CXR) can aid the diagnosis of pneumonia, but in the case of low contrast images, it is important to include computational tools to aid specialists. Deep learning is...
Role of 5G-powered remote robotic ultrasound during the COVID-19 outbreak: insights from two cases.
European review for medical and pharmacological sciences
Jul 1, 2020
The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread throughout the world. Early screening and early diagnosis play key roles in prevention and management of the epidemic. Attention should also be paid t...
An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach.
Studies in health technology and informatics
Jun 26, 2020
Pneumonia is a severe health problem causing millions of deaths every year. The aim of this study was to develop an advanced deep learning-based architecture to detect pneumonia using chest X-ray images. We utilized a convolutional neural network (CN...
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.
Journal of X-ray science and technology
Jan 1, 2020
OBJECTIVE: This study aims to employ the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early detection of novel coronavirus (COVID-19) infected disease.
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.
Journal of X-ray science and technology
Jan 1, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system. ...
Attention-Guided Convolutional Neural Network for Detecting Pneumonia on Chest X-Rays.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Pneumonia is a common infectious disease in the world. Its main diagnostic method is chest X-ray (CXR) examination. However, the high visual similarity between a large number of pathologies in CXR makes the interpretation and differentiation of pneum...
The role of presepsin in the diagnosis and assessment of severity of sepsis and severe pneumonia.
Terapevticheskii arkhiv
Nov 22, 2018
AIM: The aim of this study was to evaluate marker of inflammation presepsin to improve diagnosis of severe pneumonia, sepsis.
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
Cell
Feb 22, 2018
The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common t...
Unintended Consequences of Machine Learning in Medicine.
JAMA
Aug 8, 2017
Community-Acquired Pneumonia Case Validation in an Anonymized Electronic Medical Record-Linked Expert System.
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
May 15, 2017
An electronic anonymized patient portal analysis using radiographic reports and admission and discharge diagnoses had sensitivity, specificity, positive predictive value, and negative predictive value of 84.7%, 78.2%, 75%, and 87%, respectively, for ...
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