Analysis of neural networks for routine classification of sixteen ultrasound upper abdominal cross sections.
Journal:
Abdominal radiology (New York)
Published Date:
Jan 12, 2024
Abstract
PURPOSE: Abdominal ultrasound screening requires the capture of multiple standardized plane views as per clinical guidelines. Currently, the extent of adherence to such guidelines is dependent entirely on the skills of the sonographer. The use of neural network classification has the potential to better standardize captured plane views and streamline plane capture reducing the time burden on operators by combatting operator variability.