https://scholars.lib.ntu.edu.tw/handle/123456789/612484
Title: | A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation | Authors: | Lin, Fan-Ya YEUN-CHUNG CHANG Huang, Hsuan-Yu Li, Chia-Chen Chen, Yi-Chang CHUNG-MING CHEN |
Keywords: | Deep learning; Lung; Machine learning; Multiple pulmonary nodules; X-ray computed tomography | Issue Date: | Jun-2022 | Publisher: | SPRINGER | Journal Volume: | 32 | Journal Issue: | 6 | Start page/Pages: | 3767 | Source: | European radiology | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/612484 | ISSN: | 0938-7994 | DOI: | 10.1007/s00330-021-08456-x |
Appears in Collections: | 醫學院附設醫院 (臺大醫院) |
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