Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images
Accurate airway segmentation from computed tomography (CT) images is critical for
planning navigation bronchoscopy and realizing a quantitative assessment of airway-related …
planning navigation bronchoscopy and realizing a quantitative assessment of airway-related …
[HTML][HTML] Narrative review of current COPD status in Japan
N Tanabe, S Sato - Journal of Thoracic Disease, 2021 - ncbi.nlm.nih.gov
Chronic obstructive pulmonary disease (COPD) causes morbidity and mortality worldwide.
Due to the improvement in environmental sanitation and medical care, the general life span …
Due to the improvement in environmental sanitation and medical care, the general life span …
Artificial intelligence in COPD CT images: identification, staging, and quantitation
Chronic obstructive pulmonary disease (COPD) stands as a significant global health
challenge, with its intricate pathophysiological manifestations often demanding advanced …
challenge, with its intricate pathophysiological manifestations often demanding advanced …
Associations of pulmonary and extrapulmonary computed tomographic manifestations with impaired physical activity in symptomatic patients with chronic obstructive …
Y Hamakawa, N Tanabe, H Shima, K Terada… - Scientific Reports, 2022 - nature.com
In patients with chronic obstructive pulmonary disease (COPD), emphysema, airway
disease, and extrapulmonary comorbidities may cause various symptoms and impair …
disease, and extrapulmonary comorbidities may cause various symptoms and impair …
Kernel conversion for robust quantitative measurements of archived chest computed tomography using deep learning-based image-to-image translation
N Tanabe, S Kaji, H Shima, Y Shiraishi… - Frontiers in Artificial …, 2022 - frontiersin.org
Chest computed tomography (CT) is used to screen for lung cancer and evaluate pulmonary
and extra-pulmonary abnormalities such as emphysema and coronary artery calcification …
and extra-pulmonary abnormalities such as emphysema and coronary artery calcification …
The prevalence and physiological impacts of centrilobular and paraseptal emphysema on computed tomography in smokers with preserved ratio impaired spirometry
Y Shiraishi, T Shimada, N Tanabe, K Terada… - ERJ Open …, 2022 - Eur Respiratory Soc
Centrilobular emphysema (CLE) and paraseptal emphysema (PSE) are observed in
smokers with preserved ratio impaired spirometry (PRISm, defined as the ratio of forced …
smokers with preserved ratio impaired spirometry (PRISm, defined as the ratio of forced …
Subtyping emphysematous COPD by respiratory volume change distributions on CT
H Shima, N Tanabe, A Oguma, K Shimizu, S Kaji… - Thorax, 2023 - thorax.bmj.com
Background There is considerable heterogeneity among patients with emphysematous
chronic obstructive pulmonary disease (COPD). We hypothesised that in addition to …
chronic obstructive pulmonary disease (COPD). We hypothesised that in addition to …
A comparative evaluation of computed tomography images for the classification of spirometric severity of the chronic obstructive pulmonary disease with deep learning
H Sugimori, K Shimizu, H Makita, M Suzuki, S Konno - Diagnostics, 2021 - mdpi.com
Recently, deep learning applications in medical imaging have been widely applied.
However, whether it is sufficient to simply input the entire image or whether it is necessary to …
However, whether it is sufficient to simply input the entire image or whether it is necessary to …
Effect of timing of bronchodilator therapy initiation on exacerbations in patients with chronic obstructive pulmonary disease: a retrospective cohort study
H Yamada, I Matsumoto, N Makita, Y Arita… - Respiratory …, 2022 - Springer
Background The benefit of prompt vs delayed treatment initiation with inhaled long-acting
bronchodilators in reducing exacerbations in chronic obstructive pulmonary disease (COPD) …
bronchodilators in reducing exacerbations in chronic obstructive pulmonary disease (COPD) …
Deep learning-based reconstruction of chest ultra-high-resolution computed tomography and quantitative evaluations of smaller airways
N Tanabe, R Sakamoto, S Kozawa, T Oguma… - Respiratory …, 2022 - Elsevier
The full-iterative model reconstruction generates ultra-high-resolution computed tomography
(U-HRCT) images comprising a 1024× 1024 matrix and 0.25 mm thickness while …
(U-HRCT) images comprising a 1024× 1024 matrix and 0.25 mm thickness while …