Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.

MLA

Hata, Akinori, et al. “Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.” Radiology, vol. 312, no. 3, Sept. 2024, p. e233435. EBSCOhost, https://doi.org/10.1148/radiol.233435.

APA

Hata, A., Aoyagi, K., Hino, T., Kawagishi, M., Wada, N., Song, J., Wang, X., Valtchinov, V. I., Nishino, M., Muraguchi, Y., Nakatsugawa, M., Koga, A., Sugihara, N., Ozaki, M., Hunninghake, G. M., Tomiyama, N., Li, Y., Christiani, D. C., & Hatabu, H. (2024). Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study. Radiology, 312(3), e233435. https://doi.org/10.1148/radiol.233435

Chicago

Hata, Akinori, Kota Aoyagi, Takuya Hino, Masami Kawagishi, Noriaki Wada, Jiyeon Song, Xinan Wang, et al. 2024. “Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.” Radiology 312 (3): e233435. doi:10.1148/radiol.233435.