Matches in SemOpenAlex for { <https://semopenalex.org/work/W3165536503> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3165536503 endingPage "153303382110049" @default.
- W3165536503 startingPage "153303382110049" @default.
- W3165536503 abstract "Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain metastases is crucial due to the different clinical behaviors of the two tumor types. We propose the use of a deep learning and transfer learning approach based on conventional magnetic resonance imaging (MRI) for non-invasive classification of SCLC vs. NSCLC brain metastases. Sixty-nine patients with brain metastasis of lung cancer origin were included. Of them, 44 patients had NSCLC and 25 patients had SCLC. Classification was performed with EfficientNet architecture on crop images of lesion areas and based on post-contrast T1-weighted, T2-weighted and FLAIR imaging input data. Evaluation of the model was carried out in a 5-fold cross-validation manner, and based on accuracy, precision, recall, F1 score and area under the receiver operating characteristic curve. The best classification results were obtained with multiparametric MRI input data (T1WI+c+FLAIR+T2WI), with a mean overall accuracy of 0.90 ± 0.04, and F1 score of 0.92 ± 0.05 for NSCLC and 0.87 ± 0.08 for SCLC for the validation data and an accuracy of 0.87 ± 0.05, with an F1 score of 0.88 ± 0.05 for NSCLC and 0.85 ± 0.05 for SCLC for the test dataset. The proposed method provides an automatic noninvasive method for the classification of brain metastasis with high sensitivity and specificity for differentiation between NSCLC vs. SCLC brain metastases. It may be used as a diagnostic tool for improving decision-making in the treatment of patients with these metastases. Further studies on larger patient samples are required to validate the current results." @default.
- W3165536503 created "2021-06-07" @default.
- W3165536503 creator A5020888903 @default.
- W3165536503 creator A5022565141 @default.
- W3165536503 creator A5033333272 @default.
- W3165536503 creator A5040917414 @default.
- W3165536503 creator A5073606939 @default.
- W3165536503 date "2021-01-01" @default.
- W3165536503 modified "2023-10-13" @default.
- W3165536503 title "Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach" @default.
- W3165536503 cites W2006664172 @default.
- W3165536503 cites W2089422620 @default.
- W3165536503 cites W2129992678 @default.
- W3165536503 cites W2346062110 @default.
- W3165536503 cites W2416907124 @default.
- W3165536503 cites W2466033276 @default.
- W3165536503 cites W2592929672 @default.
- W3165536503 cites W2742679468 @default.
- W3165536503 cites W2919115771 @default.
- W3165536503 cites W2945839551 @default.
- W3165536503 cites W2954996726 @default.
- W3165536503 cites W3006436762 @default.
- W3165536503 cites W3011337925 @default.
- W3165536503 cites W3036769606 @default.
- W3165536503 cites W3036991312 @default.
- W3165536503 cites W3039137888 @default.
- W3165536503 cites W3099888165 @default.
- W3165536503 cites W3105282616 @default.
- W3165536503 cites W4230920194 @default.
- W3165536503 cites W62225863 @default.
- W3165536503 doi "https://doi.org/10.1177/15330338211004919" @default.
- W3165536503 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8155765" @default.
- W3165536503 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34030542" @default.
- W3165536503 hasPublicationYear "2021" @default.
- W3165536503 type Work @default.
- W3165536503 sameAs 3165536503 @default.
- W3165536503 citedByCount "13" @default.
- W3165536503 countsByYear W31655365032022 @default.
- W3165536503 countsByYear W31655365032023 @default.
- W3165536503 crossrefType "journal-article" @default.
- W3165536503 hasAuthorship W3165536503A5020888903 @default.
- W3165536503 hasAuthorship W3165536503A5022565141 @default.
- W3165536503 hasAuthorship W3165536503A5033333272 @default.
- W3165536503 hasAuthorship W3165536503A5040917414 @default.
- W3165536503 hasAuthorship W3165536503A5073606939 @default.
- W3165536503 hasBestOaLocation W31655365032 @default.
- W3165536503 hasConcept C101070640 @default.
- W3165536503 hasConcept C121608353 @default.
- W3165536503 hasConcept C126322002 @default.
- W3165536503 hasConcept C126838900 @default.
- W3165536503 hasConcept C143409427 @default.
- W3165536503 hasConcept C143998085 @default.
- W3165536503 hasConcept C2776256026 @default.
- W3165536503 hasConcept C2777714996 @default.
- W3165536503 hasConcept C2778164965 @default.
- W3165536503 hasConcept C2779013556 @default.
- W3165536503 hasConcept C58471807 @default.
- W3165536503 hasConcept C71924100 @default.
- W3165536503 hasConceptScore W3165536503C101070640 @default.
- W3165536503 hasConceptScore W3165536503C121608353 @default.
- W3165536503 hasConceptScore W3165536503C126322002 @default.
- W3165536503 hasConceptScore W3165536503C126838900 @default.
- W3165536503 hasConceptScore W3165536503C143409427 @default.
- W3165536503 hasConceptScore W3165536503C143998085 @default.
- W3165536503 hasConceptScore W3165536503C2776256026 @default.
- W3165536503 hasConceptScore W3165536503C2777714996 @default.
- W3165536503 hasConceptScore W3165536503C2778164965 @default.
- W3165536503 hasConceptScore W3165536503C2779013556 @default.
- W3165536503 hasConceptScore W3165536503C58471807 @default.
- W3165536503 hasConceptScore W3165536503C71924100 @default.
- W3165536503 hasLocation W31655365031 @default.
- W3165536503 hasLocation W31655365032 @default.
- W3165536503 hasOpenAccess W3165536503 @default.
- W3165536503 hasPrimaryLocation W31655365031 @default.
- W3165536503 hasRelatedWork W2001364525 @default.
- W3165536503 hasRelatedWork W2032912323 @default.
- W3165536503 hasRelatedWork W2360698968 @default.
- W3165536503 hasRelatedWork W2364112458 @default.
- W3165536503 hasRelatedWork W2372561159 @default.
- W3165536503 hasRelatedWork W2390152934 @default.
- W3165536503 hasRelatedWork W2516942920 @default.
- W3165536503 hasRelatedWork W2799453846 @default.
- W3165536503 hasRelatedWork W2914514705 @default.
- W3165536503 hasRelatedWork W3030010957 @default.
- W3165536503 hasVolume "20" @default.
- W3165536503 isParatext "false" @default.
- W3165536503 isRetracted "false" @default.
- W3165536503 magId "3165536503" @default.
- W3165536503 workType "article" @default.