Matches in SemOpenAlex for { <https://semopenalex.org/work/W3027001786> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3027001786 endingPage "827" @default.
- W3027001786 startingPage "820" @default.
- W3027001786 abstract "Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap) smear data. It is an effective technique for collecting a majority of the cervical cells and aiding cytopathologists in locating abnormal cells. Most methods published in the research literature rely on accurate cell segmentation as a prior, which remains challenging due to a variety of factors, e.g., stain consistency, presence of clustered cells, etc. We propose a method for automatic classification of cervical slide images through generation of labeled cervical patch data and extracting deep hierarchical features by fine-tuning convolution neural networks, as well as a novel graph-based cell detection approach for cellular level evaluation. The results show that the proposed pipeline can classify images of both single cell and overlapping cells. The VGG-19 model is found to be the best at classifying the cervical cytology patch data with 95 % accuracy under precision-recall curve." @default.
- W3027001786 created "2020-05-29" @default.
- W3027001786 creator A5005506423 @default.
- W3027001786 creator A5018828944 @default.
- W3027001786 creator A5022326192 @default.
- W3027001786 creator A5022372093 @default.
- W3027001786 creator A5049008935 @default.
- W3027001786 creator A5073305817 @default.
- W3027001786 date "2019-01-01" @default.
- W3027001786 modified "2023-09-28" @default.
- W3027001786 title "Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image." @default.
- W3027001786 cites W2037504140 @default.
- W3027001786 cites W2101512681 @default.
- W3027001786 cites W2269149831 @default.
- W3027001786 cites W2789926374 @default.
- W3027001786 cites W2799742832 @default.
- W3027001786 cites W2810207020 @default.
- W3027001786 cites W2884654146 @default.
- W3027001786 cites W3102737931 @default.
- W3027001786 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7153123" @default.
- W3027001786 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32308878" @default.
- W3027001786 hasPublicationYear "2019" @default.
- W3027001786 type Work @default.
- W3027001786 sameAs 3027001786 @default.
- W3027001786 citedByCount "5" @default.
- W3027001786 countsByYear W30270017862021 @default.
- W3027001786 countsByYear W30270017862022 @default.
- W3027001786 countsByYear W30270017862023 @default.
- W3027001786 crossrefType "journal-article" @default.
- W3027001786 hasAuthorship W3027001786A5005506423 @default.
- W3027001786 hasAuthorship W3027001786A5018828944 @default.
- W3027001786 hasAuthorship W3027001786A5022326192 @default.
- W3027001786 hasAuthorship W3027001786A5022372093 @default.
- W3027001786 hasAuthorship W3027001786A5049008935 @default.
- W3027001786 hasAuthorship W3027001786A5073305817 @default.
- W3027001786 hasConcept C121608353 @default.
- W3027001786 hasConcept C126322002 @default.
- W3027001786 hasConcept C153180895 @default.
- W3027001786 hasConcept C154945302 @default.
- W3027001786 hasConcept C199360897 @default.
- W3027001786 hasConcept C2778220009 @default.
- W3027001786 hasConcept C2780647465 @default.
- W3027001786 hasConcept C41008148 @default.
- W3027001786 hasConcept C43521106 @default.
- W3027001786 hasConcept C65051434 @default.
- W3027001786 hasConcept C71924100 @default.
- W3027001786 hasConcept C81363708 @default.
- W3027001786 hasConcept C89600930 @default.
- W3027001786 hasConceptScore W3027001786C121608353 @default.
- W3027001786 hasConceptScore W3027001786C126322002 @default.
- W3027001786 hasConceptScore W3027001786C153180895 @default.
- W3027001786 hasConceptScore W3027001786C154945302 @default.
- W3027001786 hasConceptScore W3027001786C199360897 @default.
- W3027001786 hasConceptScore W3027001786C2778220009 @default.
- W3027001786 hasConceptScore W3027001786C2780647465 @default.
- W3027001786 hasConceptScore W3027001786C41008148 @default.
- W3027001786 hasConceptScore W3027001786C43521106 @default.
- W3027001786 hasConceptScore W3027001786C65051434 @default.
- W3027001786 hasConceptScore W3027001786C71924100 @default.
- W3027001786 hasConceptScore W3027001786C81363708 @default.
- W3027001786 hasConceptScore W3027001786C89600930 @default.
- W3027001786 hasLocation W30270017861 @default.
- W3027001786 hasOpenAccess W3027001786 @default.
- W3027001786 hasPrimaryLocation W30270017861 @default.
- W3027001786 hasRelatedWork W2175746458 @default.
- W3027001786 hasRelatedWork W2673946014 @default.
- W3027001786 hasRelatedWork W2732542196 @default.
- W3027001786 hasRelatedWork W2769435486 @default.
- W3027001786 hasRelatedWork W2795329967 @default.
- W3027001786 hasRelatedWork W2883542984 @default.
- W3027001786 hasRelatedWork W2965153464 @default.
- W3027001786 hasRelatedWork W2973133528 @default.
- W3027001786 hasRelatedWork W3102253946 @default.
- W3027001786 hasRelatedWork W4200528772 @default.
- W3027001786 hasVolume "2019" @default.
- W3027001786 isParatext "false" @default.
- W3027001786 isRetracted "false" @default.
- W3027001786 magId "3027001786" @default.
- W3027001786 workType "article" @default.