A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation
Journal
European radiology
Journal Volume
32
Journal Issue
6
Pages
3767
Date Issued
2022-06
Author(s)
Abstract
To propose and evaluate a set of radiomic features, called morphological dynamics features, for pulmonary nodule detection, which were rooted in the dynamic patterns of morphological variation and needless precise lesion segmentation.
Subjects
Deep learning; Lung; Machine learning; Multiple pulmonary nodules; X-ray computed tomography
Publisher
SPRINGER
Type
journal article