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

MLA

Lin, Fan-Ya, et al. “A Radiomics Approach for Lung Nodule Detection in Thoracic CT Images Based on the Dynamic Patterns of Morphological Variation.” European Radiology, vol. 32, no. 6, June 2022, pp. 3767–77. EBSCOhost, https://doi.org/10.1007/s00330-021-08456-x.

APA

Lin, F.-Y., Chang, Y.-C., Huang, H.-Y., Li, C.-C., Chen, Y.-C., & Chen, C.-M. (2022). A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation. European Radiology, 32(6), 3767–3777. https://doi.org/10.1007/s00330-021-08456-x

Chicago

Lin, Fan-Ya, Yeun-Chung Chang, Hsuan-Yu Huang, Chia-Chen Li, Yi-Chang Chen, and Chung-Ming Chen. 2022. “A Radiomics Approach for Lung Nodule Detection in Thoracic CT Images Based on the Dynamic Patterns of Morphological Variation.” European Radiology 32 (6): 3767–77. doi:10.1007/s00330-021-08456-x.