A deep learning-based framework for detecting COVID-19 patients using chest X-rays
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Systems"
DOI: 10.1007/s00530-022-00917-7
Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused outbreaks of new coronavirus disease (COVID-19) around the world. Rapid and accurate detection of COVID-19 coronavirus is an important step in limiting the spread of the… read more here.
Keywords: deep learning; chest rays; covid patients; detecting covid ... See more keywords
LuGSAM: a novel framework for integrating text prompts to Segment Anything Model (SAM) for segmentation tasks of ICU chest x-rays
Sign Up to like & getrecommendations! Published in 2025 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-025-21094-5
Abstract: Segmenting lung regions in ICU Chest X-rays (CXR’s) is vital for diagnosing lung-related disorders, but existing methods require extensive annotations or training on large datasets. We present LuGSAM, a novel framework that integrates text prompts… read more here.
Keywords: novel framework; icu chest; framework; segmentation ... See more keywords
Chest X-rays of newborns in a medical facility: variation between the entrance skin dose measurements using the indirect and direct methods for clinical dose audit
Sign Up to like & getrecommendations! Published in 2021 at "Japanese Journal of Radiology"
DOI: 10.1007/s11604-021-01193-7
Abstract: This study aims to determine the mean and 75th percentile entrance skin dose (ESDcal) from anteroposterior (AP) chest X-rays using machine parameters (indirect method). Also, a comparison was made between the ESDcal and already determined… read more here.
Keywords: indirect direct; skin dose; chest rays; radiology ... See more keywords
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays
Sign Up to like & getrecommendations! Published in 2021 at "Clinical Imaging"
DOI: 10.1016/j.clinimag.2021.07.004
Abstract: Introduction Posteroanterior chest X-rays (CXRs) are recommended over computed tomography scans for COVID-19 diagnosis, as CXRs can be obtained with relatively low risk of facility contamination. The objective of this study was to assess seven… read more here.
Keywords: classification; posteroanterior chest; chest rays; cxrs ... See more keywords
Detection of respiratory diseases from chest X rays using Nesterov accelerated adaptive moment estimation
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109153
Abstract: Abstract Recent developments in the field of machine learning have led to drastic improvements in medical diagnosis. Identification of different medical conditions with high accuracy is possible through machine learning, specifically deep learning. Convolutional Neural… read more here.
Keywords: detection respiratory; accuracy; neural networks; diseases chest ... See more keywords
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.127
Abstract: Chest radiography is one of the most common types of diagnostic radiology exams, which is critical for screening and diagnosis of many different thoracic diseases. Specialized algorithms have been developed to detect several specific pathologies… read more here.
Keywords: interpreting chest; chest rays; rays via; cnns exploit ... See more keywords
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108274
Abstract: Can one learn to diagnose COVID-19 under extreme minimal supervision? Since the outbreak of the novel COVID-19 there has been a rush for developing automatic techniques for expert-level disease identification on Chest X-ray data. In… read more here.
Keywords: graph diffusion; diffusion; chest; identifying covid ... See more keywords
Daily Chest X-Rays for Cardiovascular Surgery Patients: Mandatory or Myth?
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DOI: 10.1053/j.semtcvs.2025.09.001
Abstract: Routine daily chest radiographs (CXR) in intensive care units (ICUs), including cardiovascular (CVICUs) and cardiothoracic (CTICUs), are widely used for early complication detection during the post-operative period. However, evidence suggests that this practice lacks clinical… read more here.
Keywords: surgery; surgery patients; daily chest; cardiovascular surgery ... See more keywords
Comparison of Gray-scale Inversion to Improve Detection of Pulmonary Nodules on Chest X-rays Between Radiologists and a Deep Convolutional Neural Network.
Sign Up to like & getrecommendations! Published in 2022 at "Current problems in diagnostic radiology"
DOI: 10.1067/j.cpradiol.2022.11.004
Abstract: Detection of pulmonary nodules on chest x-rays is an important task for radiologists. Previous studies have shown improved detection rates using gray-scale inversion. The purpose of our study was to compare the efficacy of gray-scale… read more here.
Keywords: scale inversion; detection pulmonary; chest rays; gray scale ... See more keywords
Are Chest X-rays still necessary for Pre-biologics Tuberculosis screening? A retrospective audit.
Sign Up to like & getrecommendations! Published in 2025 at "Clinical and experimental dermatology"
DOI: 10.1093/ced/llaf378
Abstract: Biological therapy is widely used in the UK for treating a wide range of autoimmune dermatological conditions if other treatments are not tolerated or are contraindicated. In the UK, it is common practice for chest… read more here.
Keywords: biologics tuberculosis; tuberculosis; retrospective audit; chest rays ... See more keywords
Intelligent Pneumonia Identification From Chest X-Rays: A Systematic Literature Review
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DOI: 10.1109/access.2021.3069937
Abstract: Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest. The automatic detection techniques associated with computer vision are being adopted in medical imaging research. Over the last decade, several remarkable… read more here.
Keywords: review; pneumonia identification; pneumonia; intelligent pneumonia ... See more keywords