Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method. | 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/Fardin_Abdali_Mohammadi>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Majid_Sepahvand>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1016%2Fj.compbiomed.2022.105413>
foaf:homepage	<https://doi.org/10.1016/j.compbiomed.2022.105413>
dc:identifier	DBLP journals/cbm/SepahvandM22 (xsd:string)
dc:identifier	DOI doi.org%2F10.1016%2Fj.compbiomed.2022.105413 (xsd:string)
dcterms:issued	2022 (xsd:gYear)
swrc:journal	<https://dblp.l3s.de/d2r/resource/journals/cbm>
rdfs:label	Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method. (xsd:string)
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swrc:pages	105413 (xsd:string)
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dc:title	Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method. (xsd:string)
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