Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308189433> ?p ?o ?g. }
- W4308189433 endingPage "175" @default.
- W4308189433 startingPage "166" @default.
- W4308189433 abstract "Objective assessment of atopic dermatitis (AD) is essential for choosing proper management strategies. This study investigated the performance of convolutional neural networks (CNN) models in grading the severity of AD. Five board-certified dermatologists independently evaluated the severity of 9,192 AD images. The severity of AD was evaluated based on an Investigator's Global Assessment (IGA) and six signs of AD. For CNN training, we applied three distinct approaches: 1) ensemble vs. integration 2) hard-label vs. soft-label and 3) train-set pruning. For the IGA prediction, the two best models were chosen based on the macro-averaged AUROC and F-1 score. The ensemble-soft-label-pruning model was chosen based on AUROC 0.943, 0.927 for the internal and external validation set respectively, and integration-soft-label-whole dataset model was chosen based on the F1-score 0.750, 0.721 for the internal and external validation set respectively. CNN models trained by multi-evaluator dataset outperformed the models by an individual evaluator dataset, and they performed better to the dataset in which the assessment of dermatologists was concordant. In conclusion, CNN models for AD could be improved by labeled dataset from multiple evaluators, merging methods with soft-label and train-set pruning." @default.
- W4308189433 created "2022-11-09" @default.
- W4308189433 creator A5010440126 @default.
- W4308189433 creator A5032707769 @default.
- W4308189433 creator A5052358600 @default.
- W4308189433 creator A5056846121 @default.
- W4308189433 creator A5056887000 @default.
- W4308189433 creator A5057549183 @default.
- W4308189433 creator A5068964064 @default.
- W4308189433 creator A5073284312 @default.
- W4308189433 date "2023-01-01" @default.
- W4308189433 modified "2023-09-28" @default.
- W4308189433 title "Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods With Soft-Label and Train-Set Pruning" @default.
- W4308189433 cites W189068515 @default.
- W4308189433 cites W1977571789 @default.
- W4308189433 cites W198427113 @default.
- W4308189433 cites W2090073443 @default.
- W4308189433 cites W2117359358 @default.
- W4308189433 cites W2118630839 @default.
- W4308189433 cites W2142327072 @default.
- W4308189433 cites W2143046934 @default.
- W4308189433 cites W2146648821 @default.
- W4308189433 cites W2148309496 @default.
- W4308189433 cites W2186046013 @default.
- W4308189433 cites W2192134383 @default.
- W4308189433 cites W2520780249 @default.
- W4308189433 cites W2613753055 @default.
- W4308189433 cites W2786147899 @default.
- W4308189433 cites W2899071879 @default.
- W4308189433 cites W2921197949 @default.
- W4308189433 cites W2964350391 @default.
- W4308189433 cites W2970233898 @default.
- W4308189433 cites W2970991985 @default.
- W4308189433 cites W2976851955 @default.
- W4308189433 cites W2996060033 @default.
- W4308189433 cites W3005295611 @default.
- W4308189433 cites W3008661668 @default.
- W4308189433 cites W3013387448 @default.
- W4308189433 cites W3014497218 @default.
- W4308189433 cites W3017839166 @default.
- W4308189433 cites W3028230790 @default.
- W4308189433 cites W3036298167 @default.
- W4308189433 cites W3089482132 @default.
- W4308189433 cites W3090178113 @default.
- W4308189433 cites W3090227268 @default.
- W4308189433 cites W3090400417 @default.
- W4308189433 cites W3091899181 @default.
- W4308189433 cites W3092829525 @default.
- W4308189433 cites W3105070630 @default.
- W4308189433 cites W3108821140 @default.
- W4308189433 cites W3136212843 @default.
- W4308189433 cites W3136325607 @default.
- W4308189433 cites W3156640263 @default.
- W4308189433 cites W4210971299 @default.
- W4308189433 doi "https://doi.org/10.1109/jbhi.2022.3218166" @default.
- W4308189433 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36315545" @default.
- W4308189433 hasPublicationYear "2023" @default.
- W4308189433 type Work @default.
- W4308189433 citedByCount "0" @default.
- W4308189433 crossrefType "journal-article" @default.
- W4308189433 hasAuthorship W4308189433A5010440126 @default.
- W4308189433 hasAuthorship W4308189433A5032707769 @default.
- W4308189433 hasAuthorship W4308189433A5052358600 @default.
- W4308189433 hasAuthorship W4308189433A5056846121 @default.
- W4308189433 hasAuthorship W4308189433A5056887000 @default.
- W4308189433 hasAuthorship W4308189433A5057549183 @default.
- W4308189433 hasAuthorship W4308189433A5068964064 @default.
- W4308189433 hasAuthorship W4308189433A5073284312 @default.
- W4308189433 hasConcept C108010975 @default.
- W4308189433 hasConcept C119857082 @default.
- W4308189433 hasConcept C127413603 @default.
- W4308189433 hasConcept C147176958 @default.
- W4308189433 hasConcept C153180895 @default.
- W4308189433 hasConcept C154945302 @default.
- W4308189433 hasConcept C16005928 @default.
- W4308189433 hasConcept C177264268 @default.
- W4308189433 hasConcept C199360897 @default.
- W4308189433 hasConcept C2777286243 @default.
- W4308189433 hasConcept C2778329239 @default.
- W4308189433 hasConcept C41008148 @default.
- W4308189433 hasConcept C51632099 @default.
- W4308189433 hasConcept C6557445 @default.
- W4308189433 hasConcept C71924100 @default.
- W4308189433 hasConcept C81363708 @default.
- W4308189433 hasConcept C86803240 @default.
- W4308189433 hasConceptScore W4308189433C108010975 @default.
- W4308189433 hasConceptScore W4308189433C119857082 @default.
- W4308189433 hasConceptScore W4308189433C127413603 @default.
- W4308189433 hasConceptScore W4308189433C147176958 @default.
- W4308189433 hasConceptScore W4308189433C153180895 @default.
- W4308189433 hasConceptScore W4308189433C154945302 @default.
- W4308189433 hasConceptScore W4308189433C16005928 @default.
- W4308189433 hasConceptScore W4308189433C177264268 @default.
- W4308189433 hasConceptScore W4308189433C199360897 @default.
- W4308189433 hasConceptScore W4308189433C2777286243 @default.
- W4308189433 hasConceptScore W4308189433C2778329239 @default.
- W4308189433 hasConceptScore W4308189433C41008148 @default.
- W4308189433 hasConceptScore W4308189433C51632099 @default.