Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386323203> ?p ?o ?g. }
Showing items 1 to 55 of
55
with 100 items per page.
- W4386323203 abstract "This paper presents a positioned quality evaluation method for posterior breasts in Craniocaudal-view mammograms. The proposed method employs a convolutional neural architecture (CNN) to recognize multiple candidates extracted from the posterior-inner and posterior-outer breasts and determines whether visualize fat posterior to glandular tissues. To find the proper classifier, we experiment with the two-category classifications with various CNN models, including, Squeezenet, Densenet-121, Alexnet, Vgg-19, and Resnet-101. Our method determines the evaluation result of posterior breasts by consensus decision-making from the classification results of multiple candidates. The experiment results demonstrate that Densenet-121 is the best choice for this work." @default.
- W4386323203 created "2023-09-01" @default.
- W4386323203 creator A5002594275 @default.
- W4386323203 creator A5006382241 @default.
- W4386323203 date "2023-07-17" @default.
- W4386323203 modified "2023-10-02" @default.
- W4386323203 title "Positioned Quality Evaluation of Posterior Breast by Consensus Decision-making from Multi-candidate Classification Results" @default.
- W4386323203 cites W2053154970 @default.
- W4386323203 cites W2158644048 @default.
- W4386323203 cites W2164777277 @default.
- W4386323203 cites W2785835991 @default.
- W4386323203 cites W4297348435 @default.
- W4386323203 doi "https://doi.org/10.1109/icce-taiwan58799.2023.10226882" @default.
- W4386323203 hasPublicationYear "2023" @default.
- W4386323203 type Work @default.
- W4386323203 citedByCount "0" @default.
- W4386323203 crossrefType "proceedings-article" @default.
- W4386323203 hasAuthorship W4386323203A5002594275 @default.
- W4386323203 hasAuthorship W4386323203A5006382241 @default.
- W4386323203 hasConcept C107673813 @default.
- W4386323203 hasConcept C119857082 @default.
- W4386323203 hasConcept C124101348 @default.
- W4386323203 hasConcept C153180895 @default.
- W4386323203 hasConcept C154945302 @default.
- W4386323203 hasConcept C2944601119 @default.
- W4386323203 hasConcept C41008148 @default.
- W4386323203 hasConcept C57830394 @default.
- W4386323203 hasConcept C81363708 @default.
- W4386323203 hasConcept C95623464 @default.
- W4386323203 hasConceptScore W4386323203C107673813 @default.
- W4386323203 hasConceptScore W4386323203C119857082 @default.
- W4386323203 hasConceptScore W4386323203C124101348 @default.
- W4386323203 hasConceptScore W4386323203C153180895 @default.
- W4386323203 hasConceptScore W4386323203C154945302 @default.
- W4386323203 hasConceptScore W4386323203C2944601119 @default.
- W4386323203 hasConceptScore W4386323203C41008148 @default.
- W4386323203 hasConceptScore W4386323203C57830394 @default.
- W4386323203 hasConceptScore W4386323203C81363708 @default.
- W4386323203 hasConceptScore W4386323203C95623464 @default.
- W4386323203 hasLocation W43863232031 @default.
- W4386323203 hasOpenAccess W4386323203 @default.
- W4386323203 hasPrimaryLocation W43863232031 @default.
- W4386323203 hasRelatedWork W2563096758 @default.
- W4386323203 hasRelatedWork W2767651786 @default.
- W4386323203 hasRelatedWork W2912288872 @default.
- W4386323203 hasRelatedWork W2936488316 @default.
- W4386323203 hasRelatedWork W3021430260 @default.
- W4386323203 hasRelatedWork W3027997911 @default.
- W4386323203 hasRelatedWork W4225852842 @default.
- W4386323203 hasRelatedWork W4287776258 @default.
- W4386323203 hasRelatedWork W4386053843 @default.
- W4386323203 hasRelatedWork W3158004940 @default.
- W4386323203 isParatext "false" @default.
- W4386323203 isRetracted "false" @default.
- W4386323203 workType "article" @default.