Results 21 to 30 of about 61,146 (121)

Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study [PDF]

open access: yesarXiv
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]

open access: yesarXiv, 2019
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 emphysema associated with skin nodules. [PDF]

open access: yesJ Bras Pneumol, 2023
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]

open access: yesarXiv
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]

open access: bronze, 1959
Richard H. Wasserburger   +5 more
openalex   +1 more source

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