Desmosine as a biomarker for the emergent properties of pulmonary emphysema. [PDF]
Cantor J.
europepmc +1 more source
LUNG FUNCTION STUDIES. V. RESPIRATORY DEAD SPACE IN OLD AGE AND IN PULMONARY EMPHYSEMA 1 [PDF]
Ward S. Fowler
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The Effect of Breathing Exercises in Pulmonary Emphysema [PDF]
J. D. Sinclair
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Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study [PDF]
Robust quantification of pulmonary emphysema on computed tomography (CT) remains challenging for large-scale research studies that involve scans from different scanner types and for translation to clinical scans. Existing studies have explored several directions to tackle this challenge, including density correction, noise filtering, regression, hidden
arxiv
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection [PDF]
Recently, multi-task networks have shown to both offer additional estimation capabilities, and, perhaps more importantly, increased performance over single-task networks on a "main/primary" task. However, balancing the optimization criteria of multi-task networks across different tasks is an area of active exploration.
arxiv
Pulmonary Apoplexy and Emphysema as a Post-Mortem Appearance in Cases of Death from Epilepsy [PDF]
J. W. Burman
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Pulmonary emphysema associated with skin nodules. [PDF]
Souza LVS, Souza AS, Marchiori E.
europepmc +1 more source
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies [PDF]
Pulmonary emphysema, the progressive, irreversible loss of lung tissue, is conventionally categorized into three subtypes identifiable on pathology and on lung computed tomography (CT) images. Recent work has led to the unsupervised learning of ten spatially-informed lung texture patterns (sLTPs) on lung CT, representing distinct patterns of ...
arxiv
The Electrocardiographic Pentalogy of Pulmonary Emphysema [PDF]
Richard H. Wasserburger+5 more
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