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• W3134799051 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." @default.
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• W3134799051 date "2021-04-01" @default.
• W3134799051 modified "2023-09-27" @default.
• W3134799051 title "An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans" @default.
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• W3134799051 doi "https://doi.org/10.1016/j.compmedimag.2021.101899" @default.
• W3134799051 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33761446" @default.
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