Computer-extracted global radiomic features can predict the radiologists' first impression about the abnormality of a screening mammogram.

MLA

Siviengphanom, Somphone, et al. “Computer-Extracted Global Radiomic Features Can Predict the Radiologists’ First Impression about the Abnormality of a Screening Mammogram.” British Journal of Radiology, vol. 97, no. 1153, Jan. 2024, pp. 168–79. EBSCOhost, https://doi.org/10.1093/bjr/tqad025.

APA

Siviengphanom, S., Lewis, S. J., Brennan, P. C., & Gandomkar, Z. (2024). Computer-extracted global radiomic features can predict the radiologists’ first impression about the abnormality of a screening mammogram. British Journal of Radiology, 97(1153), 168–179. https://doi.org/10.1093/bjr/tqad025

Chicago

Siviengphanom, Somphone, Sarah J Lewis, Patrick C Brennan, and Ziba Gandomkar. 2024. “Computer-Extracted Global Radiomic Features Can Predict the Radiologists’ First Impression about the Abnormality of a Screening Mammogram.” British Journal of Radiology 97 (1153): 168–79. doi:10.1093/bjr/tqad025.