FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387003146> ?p ?o ?g. }

• W4387003146 abstract "Pulmonary nodules are an early imaging indication of lung cancer, and early detection of pulmonary nodules can improve the prognosis of lung cancer. As one of the applications of machine learning, the convolutional neural network (CNN) applied to computed tomography (CT) imaging data improves the accuracy of diagnosis, but the results could be more consistent.To evaluate the diagnostic performance of CNN in assisting in detecting pulmonary nodules in CT images.PubMed, Cochrane Library, Web of Science, Elsevier, CNKI and Wanfang databases were systematically retrieved before 30 April 2023. Two reviewers searched and checked the full text of articles that might meet the criteria. The reference criteria are joint diagnoses by experienced physicians. The pooled sensitivity, specificity and the area under the summary receiver operating characteristic curve (AUC) were calculated by a random-effects model. Meta-regression analysis was performed to explore potential sources of heterogeneity.Twenty-six studies were included in this meta-analysis, involving 2,391,702 regions of interest, comprising segmented images with a few wide pixels. The combined sensitivity and specificity values of the CNN model in detecting pulmonary nodules were 0.93 and 0.95, respectively. The pooled diagnostic odds ratio was 291. The AUC was 0.98. There was heterogeneity in sensitivity and specificity among the studies. The results suggested that data sources, pretreatment methods, reconstruction slice thickness, population source and locality might contribute to the heterogeneity of these eligible studies.The CNN model can be a valuable diagnostic tool with high accuracy in detecting pulmonary nodules." @default.
• W4387003146 created "2023-09-26" @default.
• W4387003146 creator A5042947574 @default.
• W4387003146 creator A5059800103 @default.
• W4387003146 creator A5086241314 @default.
• W4387003146 creator A5090815103 @default.
• W4387003146 date "2023-09-24" @default.
• W4387003146 modified "2023-10-01" @default.
• W4387003146 title "The diagnosis performance of convolutional neural network in the detection of pulmonary nodules: a systematic review and meta-analysis" @default.
• W4387003146 cites W130099911 @default.
• W4387003146 cites W1545169144 @default.
• W4387003146 cites W1950640967 @default.
• W4387003146 cites W1986649315 @default.
• W4387003146 cites W2005942667 @default.
• W4387003146 cites W2020488794 @default.
• W4387003146 cites W2032548657 @default.
• W4387003146 cites W2102634410 @default.
• W4387003146 cites W2107638293 @default.
• W4387003146 cites W2113009004 @default.
• W4387003146 cites W2113321769 @default.
• W4387003146 cites W2126930838 @default.
• W4387003146 cites W2137288731 @default.
• W4387003146 cites W2268116731 @default.
• W4387003146 cites W2288157239 @default.
• W4387003146 cites W2322371438 @default.
• W4387003146 cites W2530038065 @default.
• W4387003146 cites W2593650084 @default.
• W4387003146 cites W2802087177 @default.
• W4387003146 cites W2894713578 @default.
• W4387003146 cites W2911282375 @default.
• W4387003146 cites W2922172225 @default.
• W4387003146 cites W2953136889 @default.
• W4387003146 cites W2997955085 @default.
• W4387003146 cites W3016139345 @default.
• W4387003146 cites W3032932079 @default.
• W4387003146 cites W3042933670 @default.
• W4387003146 cites W3049426210 @default.
• W4387003146 cites W3187190008 @default.
• W4387003146 cites W3217420505 @default.
• W4387003146 cites W4205917246 @default.
• W4387003146 cites W4210358025 @default.
• W4387003146 cites W4294549670 @default.
• W4387003146 doi "https://doi.org/10.1177/02841851231201514" @default.
• W4387003146 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37743663" @default.
• W4387003146 hasPublicationYear "2023" @default.
• W4387003146 type Work @default.
• W4387003146 citedByCount "0" @default.
• W4387003146 crossrefType "journal-article" @default.
• W4387003146 hasAuthorship W4387003146A5042947574 @default.
• W4387003146 hasAuthorship W4387003146A5059800103 @default.
• W4387003146 hasAuthorship W4387003146A5086241314 @default.
• W4387003146 hasAuthorship W4387003146A5090815103 @default.
• W4387003146 hasConcept C119423318 @default.
• W4387003146 hasConcept C126322002 @default.
• W4387003146 hasConcept C126838900 @default.
• W4387003146 hasConcept C154945302 @default.
• W4387003146 hasConcept C157481446 @default.
• W4387003146 hasConcept C2776256026 @default.
• W4387003146 hasConcept C2776478404 @default.
• W4387003146 hasConcept C41008148 @default.
• W4387003146 hasConcept C534262118 @default.
• W4387003146 hasConcept C58471807 @default.
• W4387003146 hasConcept C71924100 @default.
• W4387003146 hasConcept C81363708 @default.
• W4387003146 hasConcept C95190672 @default.
• W4387003146 hasConceptScore W4387003146C119423318 @default.
• W4387003146 hasConceptScore W4387003146C126322002 @default.
• W4387003146 hasConceptScore W4387003146C126838900 @default.
• W4387003146 hasConceptScore W4387003146C154945302 @default.
• W4387003146 hasConceptScore W4387003146C157481446 @default.
• W4387003146 hasConceptScore W4387003146C2776256026 @default.
• W4387003146 hasConceptScore W4387003146C2776478404 @default.
• W4387003146 hasConceptScore W4387003146C41008148 @default.
• W4387003146 hasConceptScore W4387003146C534262118 @default.
• W4387003146 hasConceptScore W4387003146C58471807 @default.
• W4387003146 hasConceptScore W4387003146C71924100 @default.
• W4387003146 hasConceptScore W4387003146C81363708 @default.
• W4387003146 hasConceptScore W4387003146C95190672 @default.
• W4387003146 hasLocation W43870031461 @default.
• W4387003146 hasLocation W43870031462 @default.
• W4387003146 hasOpenAccess W4387003146 @default.
• W4387003146 hasPrimaryLocation W43870031461 @default.
• W4387003146 hasRelatedWork W2014045460 @default.
• W4387003146 hasRelatedWork W2044638794 @default.
• W4387003146 hasRelatedWork W2348134738 @default.
• W4387003146 hasRelatedWork W2790511401 @default.
• W4387003146 hasRelatedWork W3031517306 @default.
• W4387003146 hasRelatedWork W3111323089 @default.
• W4387003146 hasRelatedWork W3134458896 @default.
• W4387003146 hasRelatedWork W3163989561 @default.
• W4387003146 hasRelatedWork W4380591563 @default.
• W4387003146 hasRelatedWork W2028342018 @default.
• W4387003146 isParatext "false" @default.
• W4387003146 isRetracted "false" @default.
• W4387003146 workType "article" @default.