Advancing Pulmonary Nodule Classification: A Novel Multi-Scale Fusion and Joint Upsampling Strategy using 3D Convolutional Neural Networks. | 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/Jiajia_Li_J._J._Li>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Junlin_Guan_J._L._Guan>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1145%2F3625403.3625431>
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dc:identifier	DBLP conf/admit/LiG23 (xsd:string)
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	Advancing Pulmonary Nodule Classification: A Novel Multi-Scale Fusion and Joint Upsampling Strategy using 3D Convolutional Neural Networks. (xsd:string)
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swrc:pages	148-153 (xsd:string)
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dc:title	Advancing Pulmonary Nodule Classification: A Novel Multi-Scale Fusion and Joint Upsampling Strategy using 3D Convolutional Neural Networks. (xsd:string)
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