A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Na√Įve-Bayes, and K-Nearest Neighbor Classifiers. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Kyra_Mikaela_M._Lopez>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Ma._Sheila_A._Magboo>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.3233%2FFAIA200765>
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dc:identifier	DBLP conf/mlis/LopezM20 (xsd:string)
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dcterms:issued	2020 (xsd:gYear)
rdfs:label	A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Na√Įve-Bayes, and K-Nearest Neighbor Classifiers. (xsd:string)
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swrc:pages	46-53 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/mlis/mlis2020.html#LopezM20>
rdfs:seeAlso	<https://doi.org/10.3233/FAIA200765>
swrc:series	<https://dblp.l3s.de/d2r/resource/conferences/mlis>
dc:title	A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Na√Įve-Bayes, and K-Nearest Neighbor Classifiers. (xsd:string)
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