BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images [PDF]
arXiv, 2023 Segmentation of the bronchovascular bundle within the lung parenchyma is a key step for the proper analysis and planning of many pulmonary diseases. It might also be considered the preprocessing step when the goal is to segment the nodules from the lung parenchyma.
arxiv
A tidal lung simulation to quantify lung heterogeneity with the Inspired Sinewave Test [PDF]
IEEE, EMBC2020, 2020 We have created a lung simulation to quantify lung heterogeneity from the results of the inspired sinewave test (IST). The IST is a lung function test that is non-invasive, non-ionising and does not require patients' cooperation. A tidal lung simulation is developed to assess this test and also a method is proposed to calculate lung heterogeneity from ...
arxiv
Objective dyspnea evaluation on COVID-19 patients learning from exertion-induced dyspnea scores [PDF]
arXiv, 2022 Objective: Dyspnea is one of the most common symptoms for many pulmonary diseases including COVID-19. Clinical assessment of dyspnea is mainly performed by subjective self-report, which has limited accuracy and is challenging for continuous monitoring. The objective of this research study is to determine if dyspnea progression in COVID patients can be ...
arxiv
Learning to quantify emphysema extent: What labels do we need? [PDF]
arXiv, 2018 Accurate assessment of pulmonary emphysema is crucial to assess disease severity and subtype, to monitor disease progression and to predict lung cancer risk. However, visual assessment is time-consuming and subject to substantial inter-rater variability and standard densitometry approaches to quantify emphysema remain inferior to visual scoring.
arxiv
AeroPath: An airway segmentation benchmark dataset with challenging pathology [PDF]
arXiv, 2023 To improve the prognosis of patients suffering from pulmonary diseases, such as lung cancer, early diagnosis and treatment are crucial. The analysis of CT images is invaluable for diagnosis, whereas high quality segmentation of the airway tree are required for intervention planning and live guidance during bronchoscopy.
arxiv
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study [PDF]
arXiv, 2016 Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of chronic obstructive pulmonary disease (COPD). Automated texture-based quantification of emphysema subtypes has been successfully implemented via supervised learning of these
arxiv
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans [PDF]
arXiv, 2019 Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbidity and mortality. While COPD diagnosis is based on lung function tests, early stages and progression of different aspects of the disease can be visible and quantitatively assessed on computed tomography (CT) scans. Many studies have been published that quantify imaging biomarkers
arxiv
A finite mixture model approach to regression under covariate misclassification [PDF]
arXiv, 2016 This paper considers the problem of mismeasured categorical covariates in the context of regression modeling; if unaccounted for, such misclassification is known to result in misestimation of model parameters. Here, we exploit the fact that explicitly modeling covariate misclassification leads to a mixture representation.
arxiv
A COMPARATIVE STUDY OF INTRAPULMONARY GAS MIXING AND FUNCTIONAL RESIDUAL CAPACITY IN PULMONARY EMPHYSEMA, USING HELIUM AND NITROGEN AS THE TEST GASES12 [PDF]
, 1958 John B. Hickam, Regina Frayser
openalex +1 more source
Unilateral Obliteration of the Pulmonary Artery in Emphysema [PDF]
, 1959 James G. Stevenson, J. M. Reid
openalex +1 more source