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Amador,\ S.*\ ; Beuschlein,\ F.*\ ; Chauhan,\ V.P.*\ ; Favier,\ J.*\ ; Gil,\ D.*\ ; Greenwood,\ P.*\ ; de Krijger,\ R.R.*\ ; Kroiss,\ M.*\ ; Ortuño-Miquel,\ S.*\ ; Patocs,\ A.*\ ; Stell,\ A.*\ ; Walch,\ A.K.
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Deep learning approaches applied to image classification of renal tumors: A systematic review.
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Arch. Comp. Met. Engineering 31, 615-622 (2023)
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