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A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

Crossref DOI link: https://doi.org/10.1186/s12911-019-0988-4

Published Online: 2019-12-12

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bevilacqua, Vitoantonio

Brunetti, Antonio

Cascarano, Giacomo Donato

Guerriero, Andrea

Pesce, Francesco

Moschetta, Marco

Gesualdo, Loreto
License Information

Text and Data Mining valid from 2019-12-01

Version of Record valid from 2019-12-12
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Article History

First Online: 12 December 2019

Ethics approval and consent to participate

: The experimental procedures were conducted in accordance with the Declaration of Helsinki. All participants provided written informed consent.

: Not applicable.

: The authors declare that they have no competing interests.

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