Applicability of Deep Learning to Dynamically Identify the Different Organs of the Pelvic Floor in the Midsagittal Plane.

José Antonio García-MejidoDavid Solis-MartínMarina Martín-MoránCristina Fernández-CondeFernando Fernández-PalacínJosé Antonio Sainz-Bueno

Published in: International urogynecology journal (2024)

Our results show that it is possible to apply deep learning using a trained CNN to identify different pelvic floor organs in the midsagittal plane via dynamic ultrasound.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
magnetic resonance imaging
machine learning
resistance training
computed tomography
contrast enhanced ultrasound