Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers

Journal article

Amara Tariq, Saptarshi Purkayastha, Geetha Priya Padmanaban, Elizabeth Krupinski, Hari Trivedi, Imon Banerjee, Judy Wawira Gichoya.

Journal of the American College of Radiology , vol. 17(11), p. 2020

DOI:10.1016/j.jacr.2020.08.018

Cite

APA

Tariq, A., Purkayastha, S., Padmanaban, G. P., Krupinski, E., Trivedi, H., Banerjee, I., & Gichoya., J. W. Current clinical applications of artificial intelligence in radiology and their best supporting evidence. Journal of the American College of Radiology , 17(11), 2020.

Chicago/Turabian

Tariq, Amara, Saptarshi Purkayastha, Geetha Priya Padmanaban, Elizabeth Krupinski, Hari Trivedi, Imon Banerjee, and Judy Wawira Gichoya. “Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.” Journal of the American College of Radiology 17, no. 11 (n.d.): 2020.

MLA

Tariq, Amara, et al. “Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.” Journal of the American College of Radiology , vol. 17, no. 11, p. 2020.