Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision [PDF]
arXiv, 2020 Accurate lung lesion segmentation from Computed Tomography (CT) images is crucial to the analysis and diagnosis of lung diseases such as COVID-19 and lung cancer. However, the smallness and variety of lung nodules and the lack of high-quality labeling make the accurate lung nodule segmentation difficult.
arxiv
Occupational lung disease: when should I think of it and why is it important? [PDF]
Breathe (Sheff), 2023 Feary J +4 more
europepmc +1 more source
Gene Therapy for Occupational Lung Disease: Steering Macrophages in the Right Direction? [PDF]
Am J Respir Cell Mol Biol, 2023 Remcho TP, Kolls JK.
europepmc +1 more source
A poroelastic model coupled to a fluid network with applications in lung modelling [PDF]
arXiv, 2014 Here we develop a lung ventilation model, based a continuum poroelastic representation of lung parenchyma and a 0D airway tree flow model. For the poroelastic approximation we design and implement a lowest order stabilised finite element method. This component is strongly coupled to the 0D airway tree model. The framework is applied to a realistic lung
arxiv
Occupational COPD-The most under-recognized occupational lung disease? [PDF]
Respirology, 2022 Murgia N, Gambelunghe A.
europepmc +1 more source
Recommended Procedures for the Practical Evaluation of Impaired Lung Function in Individuals with Occupational Chest Diseases [PDF]
, 1961 openalex +1 more source
Occupational lung diseases related to underground work conditions – a still appealing problem [PDF]
Acta Montanistica Slovaca, 2007 Occupational diseases of respiratory tract are listed among 12 independent nosological unites at the registry of the Slovak republic, (tuberculosis and lung cancer due to chemical carcinogens were excluded and listed elsewhere).In the past 10 years ...
Ľubomír Legáth
doaj
Occupational Lung Disease Caused by Exposure to Polytetrafluoroethylene. [PDF]
Intern Med, 2022 Aoki A +9 more
europepmc +1 more source
Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention [PDF]
arXivMany people die from lung-related diseases every year. X-ray is an effective way to test if one is diagnosed with a lung-related disease or not. This study concentrates on categorizing three distinct types of lung X-rays: those depicting healthy lungs, those showing lung opacities, and those indicative of viral pneumonia.
arxiv
Scandinavian Journal of Work, Environment & Health, 2000 Diseases have causes and consequences. The precise etiologic causes of lung diseases have received more attention than those of many other illnesses, partly because the response of the lungs to external agents can be monitored (with lung function tests) with more precision than that of many other organs and partly because most lung diseases can be ...
openaire +3 more sources