TY  - GEN 
AU  - García-Mejido, José Antonio
AU  - Solís Martín, David
AU  - Martín Morán, Marina
AU  - Fernández-Conde, C.
AU  - Fernández Palacín, Fernando
AU  - Sainz Bueno, José Antonio
A4  - Estadística e Investigación Operativa
PY  - 2024
SN  - 1433-3023
SN  - 0937-3462
UR  - http://hdl.handle.net/10498/35571
AB  - Introduction and Hypothesis: The objective was to create and validate the usefulness of a convolutional neural network (CNN) for identifying different organs of the pelvic floor in the midsagittal plane via dynamic ultrasound. Methods: This...
LA  - eng
PB  - Springer Nature
KW  - Deep learning
KW  - Pelvic foor
KW  - Ultrasonography
KW  - Convolutional neural network
KW  - Artifcial intelligence
KW  - Levator ani muscle
TI  - Applicability of Deep Learning to Dynamically Identify the Different Organs of the Pelvic Floor in the Midsagittal Plane
DO  - 10.1007/s00192-024-05841-0
ER  -