Results 101 to 110 of about 289,506 (289)
Glucose Content of Serous Pleural Effusions [PDF]
, 1951 W. L. Calnan +3 more
openalex +1 more source
Convolutional neural networks model improvements using demographics and image processing filters on chest x-rays [PDF]
arXiv, 2019 Purpose: The purpose of this study was to observe change in accuracies of convolutional neural networks (CNN) models (ratio of correct classifications to total predictions) on thoracic radiological images by creating different binary classification models based on age, gender, and image pre-processing filters on 14 pathologies. Methodology: This is a
arxiv
The Bradshaw Lecture ON THE PLEURAE: PLEURAL EFFUSION AND ITS TREATMENT: Delivered before the Royal College of Physicians of London, November 5th, 1907 [PDF]
, 1907 James Barr
openalex +1 more source
Thorax, 2014 Background Malignant pleural effusion (MPE) causes debilitating breathlessness and predicting survival is challenging. This study aimed to obtain contemporary data on survival by underlying tumour type in patients with MPE, identify prognostic indicators
A. Clive +18 more
semanticscholar +1 more source
Diagnostic significance of pleural fluid pH and pCO2
Egyptian Journal of Chest Disease and Tuberculosis, 2015 The diagnosis of pleural effusion is still difficult. The presence of pleural effusion can be confirmed by radiological studies including simple chest radiography, ultrasonography, or computed tomography.
K.E. Sobhey, B.A. Naglaa
doaj +1 more source
Efficacy and Safety of Talc Pleurodesis for Malignant Pleural Effusion: A Meta-Analysis
PLoS ONE, 2014 Background Talc pleurodesis has been widely used to control malignant pleural effusion; however, it is still not clear whether talc pleurodesis is more effective than other local therapies. We performed a meta-analysis to evaluate the efficacy and safety
Huan Xia +4 more
semanticscholar +1 more source
The Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasound [PDF]
arXivData augmentation is a central component of joint embedding self-supervised learning (SSL). Approaches that work for natural images may not always be effective in medical imaging tasks. This study systematically investigated the impact of data augmentation and preprocessing strategies in SSL for lung ultrasound.
arxiv
Diagnostic Tools of Pleural Effusion
Tuberculosis and Respiratory Diseases, 2014 Pleural effusion is not a rare disease in Korea. The diagnosis of pleural effusion is very difficult, even though the patients often complain of typical symptoms indicating of pleural diseases.
M. Na
semanticscholar +1 more source