FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2615067706> ?p ?o ?g. }

• W2615067706 endingPage "69" @default.
• W2615067706 startingPage "57" @default.
• W2615067706 abstract "Exhaled aerosol patterns have been used to detect obstructive respiratory diseases in the upper airways. Signals from small airway diseases are weak and may not manifest themselves in the exhaled aerosol patterns. Therefore, it will be more challenging to detect abnormalities in small airways. The objective of this study is to develop a simulation-based classification model that can accurately classify small airway diseases. The model performance was evaluated in five obstructed models that are located in lung bifurcations G7-9. The exhaled aerosol images were quantified using local fractal dimensions at different sampling resolutions (n × n). The datasets were classified using both the random forest (RF) and support vector machine (SVM) algorithms. Results show that RF performs slightly and persistently better than SVM. The sampling resolution of 12 × 12 gave the optimal classification for both algorithms. Based on the lung models with predefined obstructive levels, the optimal classification accuracy is 87.0% for 5-class classification, and is 92.5% for 4-class classification by regrouping the mislabeled samples. The proposed model with multi-resolution fractal feature extraction and RF algorithm appears to be sensitive enough to accurately distinguish airway abnormalities in small airways beyond G7 with healthy bronchiole diameter <4 mm. This aerosol-based breath test is promising to develop into an alternative or supplemental tool to the low-dose CT scanning for lung cancer screening." @default.
• W2615067706 created "2017-05-26" @default.
• W2615067706 creator A5003276799 @default.
• W2615067706 creator A5025046509 @default.
• W2615067706 creator A5054554545 @default.
• W2615067706 creator A5079405950 @default.
• W2615067706 creator A5084794080 @default.
• W2615067706 date "2017-08-01" @default.
• W2615067706 modified "2023-10-16" @default.
• W2615067706 title "Multi-resolution classification of exhaled aerosol images to detect obstructive lung diseases in small airways" @default.
• W2615067706 cites W130099911 @default.
• W2615067706 cites W1515686529 @default.
• W2615067706 cites W1964437677 @default.
• W2615067706 cites W1964940342 @default.
• W2615067706 cites W1977296795 @default.
• W2615067706 cites W1989916246 @default.
• W2615067706 cites W1992683167 @default.
• W2615067706 cites W1992747532 @default.
• W2615067706 cites W1995365996 @default.
• W2615067706 cites W1995769879 @default.
• W2615067706 cites W1996745062 @default.
• W2615067706 cites W1997574431 @default.
• W2615067706 cites W2008918656 @default.
• W2615067706 cites W2016717881 @default.
• W2615067706 cites W2021625906 @default.
• W2615067706 cites W2026987057 @default.
• W2615067706 cites W2031827337 @default.
• W2615067706 cites W2031909371 @default.
• W2615067706 cites W2033355541 @default.
• W2615067706 cites W2042794616 @default.
• W2615067706 cites W2046541211 @default.
• W2615067706 cites W2048541209 @default.
• W2615067706 cites W2051993919 @default.
• W2615067706 cites W2057422983 @default.
• W2615067706 cites W2057594692 @default.
• W2615067706 cites W2062112832 @default.
• W2615067706 cites W2064274273 @default.
• W2615067706 cites W2077653913 @default.
• W2615067706 cites W2080251891 @default.
• W2615067706 cites W2089570507 @default.
• W2615067706 cites W2098826524 @default.
• W2615067706 cites W2117346638 @default.
• W2615067706 cites W2137476312 @default.
• W2615067706 cites W2137640349 @default.
• W2615067706 cites W2146562833 @default.
• W2615067706 cites W2146964349 @default.
• W2615067706 cites W2154304015 @default.
• W2615067706 cites W2156398782 @default.
• W2615067706 cites W2165436165 @default.
• W2615067706 cites W2171539909 @default.
• W2615067706 cites W2305422646 @default.
• W2615067706 cites W2911964244 @default.
• W2615067706 cites W4239510810 @default.
• W2615067706 doi "https://doi.org/10.1016/j.compbiomed.2017.05.019" @default.
• W2615067706 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28550740" @default.
• W2615067706 hasPublicationYear "2017" @default.
• W2615067706 type Work @default.
• W2615067706 sameAs 2615067706 @default.
• W2615067706 citedByCount "10" @default.
• W2615067706 countsByYear W26150677062019 @default.
• W2615067706 countsByYear W26150677062021 @default.
• W2615067706 countsByYear W26150677062022 @default.
• W2615067706 countsByYear W26150677062023 @default.
• W2615067706 crossrefType "journal-article" @default.
• W2615067706 hasAuthorship W2615067706A5003276799 @default.
• W2615067706 hasAuthorship W2615067706A5025046509 @default.
• W2615067706 hasAuthorship W2615067706A5054554545 @default.
• W2615067706 hasAuthorship W2615067706A5079405950 @default.
• W2615067706 hasAuthorship W2615067706A5084794080 @default.
• W2615067706 hasConcept C105922876 @default.
• W2615067706 hasConcept C121332964 @default.
• W2615067706 hasConcept C12267149 @default.
• W2615067706 hasConcept C126322002 @default.
• W2615067706 hasConcept C141071460 @default.
• W2615067706 hasConcept C153180895 @default.
• W2615067706 hasConcept C153294291 @default.
• W2615067706 hasConcept C154945302 @default.
• W2615067706 hasConcept C169258074 @default.
• W2615067706 hasConcept C2777714996 @default.
• W2615067706 hasConcept C2779345167 @default.
• W2615067706 hasConcept C2780957178 @default.
• W2615067706 hasConcept C41008148 @default.
• W2615067706 hasConcept C71924100 @default.
• W2615067706 hasConceptScore W2615067706C105922876 @default.
• W2615067706 hasConceptScore W2615067706C121332964 @default.
• W2615067706 hasConceptScore W2615067706C12267149 @default.
• W2615067706 hasConceptScore W2615067706C126322002 @default.
• W2615067706 hasConceptScore W2615067706C141071460 @default.
• W2615067706 hasConceptScore W2615067706C153180895 @default.
• W2615067706 hasConceptScore W2615067706C153294291 @default.
• W2615067706 hasConceptScore W2615067706C154945302 @default.
• W2615067706 hasConceptScore W2615067706C169258074 @default.
• W2615067706 hasConceptScore W2615067706C2777714996 @default.
• W2615067706 hasConceptScore W2615067706C2779345167 @default.
• W2615067706 hasConceptScore W2615067706C2780957178 @default.
• W2615067706 hasConceptScore W2615067706C41008148 @default.
• W2615067706 hasConceptScore W2615067706C71924100 @default.
• W2615067706 hasFunder F4320310633 @default.

• next