Comput Med Imaging Graph. 2021 Mar 11;89:101899. doi: 10.1016/j.compmedimag.2021.101899. Online ahead of print.
ABSTRACT
Computed tomography (CT) screening is essential for early lung cancer detection. With the development of artificial intelligence techniques, it is particularly desirable to explore the ability of current state-of-the-art methods and to analyze nodule features in terms of a large population. In this paper, we present an artificial-intelligence lung image analysis system (ALIAS) for nodule detection and segmentation. And after segmenting the nodules, the locations, sizes, as well as imaging features are computed at the population level for studying the differences between benign and malignant nodules. The results provide better understanding of the underlying imaging features and their ability for early lung cancer diagnosis.
PMID:33761446 | DOI:10.1016/j.compmedimag.2021.101899
