An end-end deep learning framework for lesion segmentation on multi-contrast MR images - an exploratory study in a rat model of traumatic brain injury. | 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/Abdalla_Z._Mohamed>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/C._S._Arvind>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Hussein_Srour>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/K._N._Bhanu_Prakash>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Krishna_Kanth_Chitta>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Xuan_Vinh_To>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1007%2Fs11517-022-02752-4>
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rdfs:label	An end-end deep learning framework for lesion segmentation on multi-contrast MR images - an exploratory study in a rat model of traumatic brain injury. (xsd:string)
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dc:title	An end-end deep learning framework for lesion segmentation on multi-contrast MR images - an exploratory study in a rat model of traumatic brain injury. (xsd:string)
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