<> <http://www.w3.org/2000/01/rdf-schema#comment> "The repository administrator has not yet configured an RDF license."^^<http://www.w3.org/2001/XMLSchema#string> .
<> <http://xmlns.com/foaf/0.1/primaryTopic> <https://discovery.ucl.ac.uk/id/eprint/10185511> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/AcademicArticle> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Article> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/title> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/abstract> "Histopathological diagnosis is the mainstay of present-day preventive medical care service to guide the therapy and treatment of breast cancer at an early stage. Manual examination of histologic data based on clinicians’ subjective knowledge is a time-consuming, labour-intensive, and costly method that necessitates clinical intervention and competence for a fair decision. In the recent work, we have developed an ensemble of five deep CNNs to classify three grades of breast cancer using quantitative image-based assessment of digital pathology slides without any manual intervention. To produce final predictions on the dataset, a fuzzy ranking algorithm is used. On the Databiox dataset, the suggested model attained an accuracy of 79%, 75%, 89%, and 82% at 4×, 10×, 20×, and 40× magnification, respectively. Furthermore, it has been observed that the stain-normalization strategy improves the model’s classification performance on the histopathological images. In this case, the Macenko stain-normalization technique is employed which further enhances the performance of the proposed ensemble model up to 80%, 100%, 100%, and 82% at 4×, 10×, 20×, and 40× magnification, respectively. Additionally, a comparative analysis with the existing state-of-the-art technique demonstrated the superiority of the proposed scheme."^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/date> "2024-04" .
<https://discovery.ucl.ac.uk/id/document/1684345> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Document> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/volume> "36" .
<https://discovery.ucl.ac.uk/id/org/ext-dcea299cf48188065b5f59a4cae50003> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Organization> .
<https://discovery.ucl.ac.uk/id/org/ext-dcea299cf48188065b5f59a4cae50003> <http://xmlns.com/foaf/0.1/name> "Springer Science and Business Media LLC"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/publisher> <https://discovery.ucl.ac.uk/id/org/ext-dcea299cf48188065b5f59a4cae50003> .
<https://discovery.ucl.ac.uk/id/publication/ext-09410643> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/ontology/bibo/Collection> .
<https://discovery.ucl.ac.uk/id/publication/ext-09410643> <http://xmlns.com/foaf/0.1/name> "Neural Computing and Applications"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/isPartOf> <https://discovery.ucl.ac.uk/id/publication/ext-09410643> .
<https://discovery.ucl.ac.uk/id/publication/ext-09410643> <http://www.w3.org/2002/07/owl#sameAs> <urn:issn:09410643> .
<https://discovery.ucl.ac.uk/id/publication/ext-09410643> <http://purl.org/ontology/bibo/issn> "09410643" .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/status> <http://purl.org/ontology/bibo/status/published> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/creator> <https://discovery.ucl.ac.uk/id/person/ext-28a32ef3647a009bcb5f3be2690bfc9f> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/authorList> <https://discovery.ucl.ac.uk/id/eprint/10185511#authors> .
<https://discovery.ucl.ac.uk/id/eprint/10185511#authors> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_1> <https://discovery.ucl.ac.uk/id/person/ext-28a32ef3647a009bcb5f3be2690bfc9f> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/creator> <https://discovery.ucl.ac.uk/id/person/ext-836254d64032d5e522e29cb1496488a3> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/authorList> <https://discovery.ucl.ac.uk/id/eprint/10185511#authors> .
<https://discovery.ucl.ac.uk/id/eprint/10185511#authors> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_2> <https://discovery.ucl.ac.uk/id/person/ext-836254d64032d5e522e29cb1496488a3> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/creator> <https://discovery.ucl.ac.uk/id/person/ext-7efdaffb5d2209af9f1dfdfa8d6c4b5f> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/authorList> <https://discovery.ucl.ac.uk/id/eprint/10185511#authors> .
<https://discovery.ucl.ac.uk/id/eprint/10185511#authors> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_3> <https://discovery.ucl.ac.uk/id/person/ext-7efdaffb5d2209af9f1dfdfa8d6c4b5f> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/creator> <https://discovery.ucl.ac.uk/id/person/ext-1279ba9dce29c69f7db0a181533cb024> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/ontology/bibo/authorList> <https://discovery.ucl.ac.uk/id/eprint/10185511#authors> .
<https://discovery.ucl.ac.uk/id/eprint/10185511#authors> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_4> <https://discovery.ucl.ac.uk/id/person/ext-1279ba9dce29c69f7db0a181533cb024> .
<https://discovery.ucl.ac.uk/id/person/ext-1279ba9dce29c69f7db0a181533cb024> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
<https://discovery.ucl.ac.uk/id/person/ext-1279ba9dce29c69f7db0a181533cb024> <http://xmlns.com/foaf/0.1/givenName> "Ashish"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-1279ba9dce29c69f7db0a181533cb024> <http://xmlns.com/foaf/0.1/familyName> "Kalkal"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-1279ba9dce29c69f7db0a181533cb024> <http://xmlns.com/foaf/0.1/name> "Ashish Kalkal"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-7efdaffb5d2209af9f1dfdfa8d6c4b5f> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
<https://discovery.ucl.ac.uk/id/person/ext-7efdaffb5d2209af9f1dfdfa8d6c4b5f> <http://xmlns.com/foaf/0.1/givenName> "Manoj"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-7efdaffb5d2209af9f1dfdfa8d6c4b5f> <http://xmlns.com/foaf/0.1/familyName> "Sharma"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-7efdaffb5d2209af9f1dfdfa8d6c4b5f> <http://xmlns.com/foaf/0.1/name> "Manoj Sharma"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-28a32ef3647a009bcb5f3be2690bfc9f> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
<https://discovery.ucl.ac.uk/id/person/ext-28a32ef3647a009bcb5f3be2690bfc9f> <http://xmlns.com/foaf/0.1/givenName> "Shallu"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-28a32ef3647a009bcb5f3be2690bfc9f> <http://xmlns.com/foaf/0.1/familyName> "Sharma"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-28a32ef3647a009bcb5f3be2690bfc9f> <http://xmlns.com/foaf/0.1/name> "Shallu Sharma"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-836254d64032d5e522e29cb1496488a3> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
<https://discovery.ucl.ac.uk/id/person/ext-836254d64032d5e522e29cb1496488a3> <http://xmlns.com/foaf/0.1/givenName> "Sumit"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-836254d64032d5e522e29cb1496488a3> <http://xmlns.com/foaf/0.1/familyName> "Kumar"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/person/ext-836254d64032d5e522e29cb1496488a3> <http://xmlns.com/foaf/0.1/name> "Sumit Kumar"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/EPrint> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/ArticleEPrint> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/terms/isPartOf> <https://discovery.ucl.ac.uk/id/repository> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasDocument> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1684345> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<https://discovery.ucl.ac.uk/id/document/1684345> <http://www.w3.org/2000/01/rdf-schema#label> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images (Text)"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://purl.org/dc/elements/1.1/hasVersion> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasAccepted> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1684345> <http://eprints.org/ontology/hasFile> <https://discovery.ucl.ac.uk/id/eprint/10185511/1/accepted-manuscript_NCAA.pdf> .
<https://discovery.ucl.ac.uk/id/document/1684345> <http://purl.org/dc/terms/hasPart> <https://discovery.ucl.ac.uk/id/eprint/10185511/1/accepted-manuscript_NCAA.pdf> .
<https://discovery.ucl.ac.uk/id/eprint/10185511/1/accepted-manuscript_NCAA.pdf> <http://www.w3.org/2000/01/rdf-schema#label> "accepted-manuscript_NCAA.pdf"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasDocument> <https://discovery.ucl.ac.uk/id/document/1691888> .
<https://discovery.ucl.ac.uk/id/document/1691888> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<https://discovery.ucl.ac.uk/id/document/1691888> <http://www.w3.org/2000/01/rdf-schema#label> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/document/1691888> <http://eprints.org/relation/isVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691888> <http://eprints.org/relation/isVolatileVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691888> <http://eprints.org/relation/isIndexCodesVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasDocument> <https://discovery.ucl.ac.uk/id/document/1691889> .
<https://discovery.ucl.ac.uk/id/document/1691889> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<https://discovery.ucl.ac.uk/id/document/1691889> <http://www.w3.org/2000/01/rdf-schema#label> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/document/1691889> <http://eprints.org/relation/isVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691889> <http://eprints.org/relation/isVolatileVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691889> <http://eprints.org/relation/islightboxThumbnailVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasDocument> <https://discovery.ucl.ac.uk/id/document/1691890> .
<https://discovery.ucl.ac.uk/id/document/1691890> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<https://discovery.ucl.ac.uk/id/document/1691890> <http://www.w3.org/2000/01/rdf-schema#label> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/document/1691890> <http://eprints.org/relation/isVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691890> <http://eprints.org/relation/isVolatileVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691890> <http://eprints.org/relation/ispreviewThumbnailVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasDocument> <https://discovery.ucl.ac.uk/id/document/1691891> .
<https://discovery.ucl.ac.uk/id/document/1691891> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<https://discovery.ucl.ac.uk/id/document/1691891> <http://www.w3.org/2000/01/rdf-schema#label> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/document/1691891> <http://eprints.org/relation/isVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691891> <http://eprints.org/relation/isVolatileVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691891> <http://eprints.org/relation/ismediumThumbnailVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://eprints.org/ontology/hasDocument> <https://discovery.ucl.ac.uk/id/document/1691892> .
<https://discovery.ucl.ac.uk/id/document/1691892> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://eprints.org/ontology/Document> .
<https://discovery.ucl.ac.uk/id/document/1691892> <http://www.w3.org/2000/01/rdf-schema#label> "An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images (Other)"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/document/1691892> <http://eprints.org/relation/isVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691892> <http://eprints.org/relation/isVolatileVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/document/1691892> <http://eprints.org/relation/issmallThumbnailVersionOf> <https://discovery.ucl.ac.uk/id/document/1684345> .
<https://discovery.ucl.ac.uk/id/eprint/10185511> <http://www.w3.org/2000/01/rdf-schema#seeAlso> <https://discovery.ucl.ac.uk/id/eprint/10185511/> .
<https://discovery.ucl.ac.uk/id/eprint/10185511/> <http://purl.org/dc/elements/1.1/title> "HTML Summary of #10185511 \n\nAn ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images\n\n" .
<https://discovery.ucl.ac.uk/id/eprint/10185511/> <http://purl.org/dc/elements/1.1/format> "text/html" .
<https://discovery.ucl.ac.uk/id/eprint/10185511/> <http://xmlns.com/foaf/0.1/primaryTopic> <https://discovery.ucl.ac.uk/id/eprint/10185511> .