Gomez-Perez, S.L.; Zhang, Y.; Byrne, C.; Wakefield, C.; Geesey, T.; Sclamberg, J.; Peterson, S.
Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction. Sensors 2022, 22, 3357.
https://doi.org/10.3390/s22093357
AMA Style
Gomez-Perez SL, Zhang Y, Byrne C, Wakefield C, Geesey T, Sclamberg J, Peterson S.
Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction. Sensors. 2022; 22(9):3357.
https://doi.org/10.3390/s22093357
Chicago/Turabian Style
Gomez-Perez, Sandra L., Yanyu Zhang, Cecily Byrne, Connor Wakefield, Thomas Geesey, Joy Sclamberg, and Sarah Peterson.
2022. "Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction" Sensors 22, no. 9: 3357.
https://doi.org/10.3390/s22093357
APA Style
Gomez-Perez, S. L., Zhang, Y., Byrne, C., Wakefield, C., Geesey, T., Sclamberg, J., & Peterson, S.
(2022). Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction. Sensors, 22(9), 3357.
https://doi.org/10.3390/s22093357