Berenguer-Vidal, R.; Verdú-Monedero, R.; Morales-Sánchez, J.; Sellés-Navarro, I.; del Amor, R.; GarcÃa, G.; Naranjo, V.
Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging. Sensors 2021, 21, 8027.
https://doi.org/10.3390/s21238027
AMA Style
Berenguer-Vidal R, Verdú-Monedero R, Morales-Sánchez J, Sellés-Navarro I, del Amor R, GarcÃa G, Naranjo V.
Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging. Sensors. 2021; 21(23):8027.
https://doi.org/10.3390/s21238027
Chicago/Turabian Style
Berenguer-Vidal, Rafael, Rafael Verdú-Monedero, Juan Morales-Sánchez, Inmaculada Sellés-Navarro, RocÃo del Amor, Gabriel GarcÃa, and Valery Naranjo.
2021. "Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging" Sensors 21, no. 23: 8027.
https://doi.org/10.3390/s21238027
APA Style
Berenguer-Vidal, R., Verdú-Monedero, R., Morales-Sánchez, J., Sellés-Navarro, I., del Amor, R., GarcÃa, G., & Naranjo, V.
(2021). Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging. Sensors, 21(23), 8027.
https://doi.org/10.3390/s21238027