A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation

Lin, Fan-YaFan-YaLinYEUN-CHUNG CHANGHuang, Hsuan-YuHsuan-YuHuangLi, Chia-ChenChia-ChenLiChen, Yi-ChangYi-ChangChenCHUNG-MING CHEN2022-06-062022-06-062022-060938-7994https://scholars.lib.ntu.edu.tw/handle/123456789/612484To 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.enDeep learning; Lung; Machine learning; Multiple pulmonary nodules; X-ray computed tomographyA radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variationjournal article10.1007/s00330-021-08456-x350200162-s2.0-85122827453WOS:000741942900008https://scholars.lib.ntu.edu.tw/handle/123456789/594360