A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm. | 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/Peter_Haddawy>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Thanongchai_Siriapisith>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Worapan_Kusakunniran>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.7717%2Fpeerj-cs.1033>
foaf:homepage	<https://doi.org/10.7717/peerj-cs.1033>
dc:identifier	DBLP journals/peerj-cs/SiriapisithKH22 (xsd:string)
dc:identifier	DOI doi.org%2F10.7717%2Fpeerj-cs.1033 (xsd:string)
dcterms:issued	2022 (xsd:gYear)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Worapan_Kusakunniran>
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dc:title	A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm. (xsd:string)
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