Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.

Andrea D'AvieroAlessia ReFrancesco CatucciDanila PiccariClaudio VottaDomenico PiroAntonio PirasCarmela Di DioMartina IezziFrancesco Preziosi Sebastiano MennaFlaviovincenzo QuarantaAlthea BoschettiMarco MarrasFrancesco MiccichèRoberto Gallus Luca Indovina Francesco BussuVincenzo ValentiniDavide CusumanoGian Carlo Mattiucci

Published in: International journal of environmental research and public health (2022)

In this preliminary analysis, deep-learning auto-segmentation seems to provide acceptable H&N OAR delineations. For less accurate organs, AC could be considered a starting point for review and manual adjustment. Our results suggest that AC could become a useful time-saving tool to optimize workload and resources in RT departments.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
data analysis