Harmonization of robust radiomic features in the submandibular gland using multi-ultrasound systems: a preliminary study.

ABSTRACT:

Objective

This study aimed to identify robust radiomic features in multiultrasonography of the submandibular gland and normalize the interdevice discrepancies by applying a machine-learning-based harmonization method.

Methods

Ultrasonographic images of normal submandibular gland of young healthy adults, aged between 20 and 40 years, were selected from two different devices. In a total of 30 images, the region of interest was determined along the border of gland parenchyma, and 103 radiomic features were extracted using A-VIEW. The coefficient of variation (CV) was obtained for individual features, and the features showing CV less than 10% were selected. For the selected features, the interdevice discrepancy was normalized using machine-learning method, called the ComBat harm

SUBMITTER: Choi YJ 

PROVIDER: S-EPMC9974233 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature