Realistic Chest X‐Ray Image Synthesis via Generative Network with Stochastic Memristor Array for Machine Learning‐Based Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202305136
Abstract: Artificial Intelligence (AI) technology has attracted tremendous interest in the medical community, from image analysis to lesion diagnosis. However, progress in medical AI is hampered by a lack of available medical image datasets and labor‐intensive… read more here.
Keywords: image; diagnosis; realistic chest; chest ray ... See more keywords
Chest X‐ray‐based opportunistic screening of sarcopenia using deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cachexia, Sarcopenia and Muscle"
DOI: 10.1002/jcsm.13144
Abstract: Early detection and management of sarcopenia is of clinical importance. We aimed to develop a chest X‐ray‐based deep learning model to predict presence of sarcopenia. read more here.
Keywords: sarcopenia; ray based; deep learning; chest ray ... See more keywords
Postnatal chest X‐ray in children with asymptomatic congenital lung malformations
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DOI: 10.1002/ppul.27201
Abstract: The clinical implications of a postnatal chest X‐ray (CXR) in asymptomatic children with a prenatally diagnosed congenital lung malformation (CLM) are uncertain. We assessed the justification for the postnatal use of CXR in these children. read more here.
Keywords: ray children; congenital lung; postnatal chest; chest ray ... See more keywords
Prognostic value of the chest X-ray in patients hospitalised for heart failure
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DOI: 10.1007/s00392-021-01836-9
Abstract: Patients admitted to hospital with heart failure will have had a chest X-ray (CXR), but little is known about their prognostic significance. We aimed to report the prevalence and prognostic value of the initial chest… read more here.
Keywords: prognostic value; chest ray; heart; heart failure ... See more keywords
The influence of chest X-ray results on antibiotic prescription for childhood pneumonia in the emergency department
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DOI: 10.1007/s00431-021-03996-2
Abstract: The aim of this study is to evaluate the influence of chest X-ray (CXR) results on antibiotic prescription in children suspected of lower respiratory tract infections (RTI) in the emergency department (ED). We performed a… read more here.
Keywords: cxr; antibiotic prescription; emergency department; chest ray ... See more keywords
MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification
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DOI: 10.1007/s00500-024-09901-x
Abstract: Chest X-ray imaging is a critical diagnostic tool for identifying pulmonary diseases. However, manual interpretation of these images is time-consuming and error-prone. Automated systems utilizing convolutional neural networks (CNNs) have shown promise in improving the… read more here.
Keywords: classification; multilayer multimodal; image; chest ray ... See more keywords
Innovative chest X-ray image recognition technique and its economic value
Sign Up to like & getrecommendations! Published in 2021 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-021-01627-z
Abstract: Image recognition techniques can recognize abnormal medical images, directly contributing to achieving high-quality diagnosis. In particular, with the development of deep learning technology, the recognition accuracy of abnormalities has steadily increased. However, there are usually… read more here.
Keywords: recognition; learning instances; chest ray; image recognition ... See more keywords
Diagnosing Gastric Cancer in Chest X-ray
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DOI: 10.1007/s12262-018-1725-4
Abstract: A 60-year-old lady presented with symptoms of chronic iron deficiency anaemia. On evaluation with routine chest X-ray, it surprisingly revealed an irregular mass-like opacity in proximal part of stomach suggesting gastric cancer. The diagnosis was… read more here.
Keywords: gastric cancer; chest ray; ray; diagnosing gastric ... See more keywords
A novel normalization algorithm to facilitate pre-assessment of Covid-19 disease by improving accuracy of CNN and its FPGA implementation
Sign Up to like & getrecommendations! Published in 2022 at "Evolving Systems"
DOI: 10.1007/s12530-022-09419-3
Abstract: COVID-19 is still a fatal disease, which has threatened all people by affecting the human lungs. Chest X-Ray or computed tomography imaging is commonly used to make a fast and reliable medical investigation to detect… read more here.
Keywords: covid disease; normalization; covid; chest ray ... See more keywords
COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-02917-3
Abstract: COVID-19 pandemic is widely spreading over the entire world and has established significant community spread. Fostering a prediction system can help prepare the officials to respond properly and quickly. Medical imaging like X-ray and computed… read more here.
Keywords: convolutional neural; chest ray; ray images; neural network ... See more keywords
Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03075-2
Abstract: In this research, A Deep Convolutional Neural Network was proposed to detect Pneumonia infection in the lung using Chest X-ray images. The proposed Deep CNN models were trained with a Pneumonia Chest X-ray Dataset containing… read more here.
Keywords: proposed deep; network; deep convolutional; chest ray ... See more keywords