Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images

MLA

Robert J. H. Miller, et al. “Mitigating Bias in Deep Learning for Diagnosis of Coronary Artery Disease from Myocardial Perfusion SPECT Images.” European Journal of Nuclear Medicine and Molecular Imaging, vol. 50, Oct. 2022, pp. 387–97. EBSCOhost, https://doi.org/10.1007/s00259-022-05972-w.

APA

Robert J. H. Miller, Ananya Singh, Yuka Otaki, Balaji K. Tamarappoo, Paul Kavanagh, Tejas Parekh, Lien-Hsin Hu, Heidi Gransar, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Joanna X. Liang, … Piotr J. Slomka. (2022). Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images. European Journal of Nuclear Medicine and Molecular Imaging, 50, 387–397. https://doi.org/10.1007/s00259-022-05972-w

Chicago

Robert J. H. Miller, Ananya Singh, Yuka Otaki, Balaji K. Tamarappoo, Paul Kavanagh, Tejas Parekh, Lien-Hsin Hu, et al. 2022. “Mitigating Bias in Deep Learning for Diagnosis of Coronary Artery Disease from Myocardial Perfusion SPECT Images.” European Journal of Nuclear Medicine and Molecular Imaging 50 (October): 387–97. doi:10.1007/s00259-022-05972-w.