Cite
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
MLA
Bevilacqua, Vitoantonio, et al. “A Comparison between Two Semantic Deep Learning Frameworks for the Autosomal Dominant Polycystic Kidney Disease Segmentation Based on Magnetic Resonance Images.” BMC Medical Informatics & Decision Making, vol. 19, Dec. 2019, pp. 1–12. EBSCOhost, https://doi.org/10.1186/s12911-019-0988-4.
APA
Bevilacqua, V., Brunetti, A., Cascarano, G. D., Guerriero, A., Pesce, F., Moschetta, M., & Gesualdo, L. (2019). A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images. BMC Medical Informatics & Decision Making, 19, 1–12. https://doi.org/10.1186/s12911-019-0988-4
Chicago
Bevilacqua, Vitoantonio, Antonio Brunetti, Giacomo Donato Cascarano, Andrea Guerriero, Francesco Pesce, Marco Moschetta, and Loreto Gesualdo. 2019. “A Comparison between Two Semantic Deep Learning Frameworks for the Autosomal Dominant Polycystic Kidney Disease Segmentation Based on Magnetic Resonance Images.” BMC Medical Informatics & Decision Making 19 (December): 1–12. doi:10.1186/s12911-019-0988-4.