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Duke Radiology at RSNA 2020 – “Diagnostic Performance of a Deep Learning Image Reconstruction for Low-Contrast Detectability…”

Wednesday, December 2, 8:30 AM - 9:30 AM EST Code : SSGI04 Science Session with Keynote: Gastrointestinal (Artificial Intelligence General Applications)

Diagnostic Performance of a Deep Learning Image Reconstruction for Low-Contrast Detectability: Potential for Radiation Dose Reduction in a Multireader Study

Presented by Peijie Lyu, MD. Co-Author(s): Justion Bennion Solomon, PhD, Daniele Marin, MD, Francesc Rigiroli, MD, Fides Schwartz, MD, Ehsan Samei, PhD, Yuqin Ding, MD, Brian Thomsen, MSc, Jered R. Wells, PhD, Carolyn R. Lowry, BS

Christina (Peijie Lyu) worked at Duke for a year in the group of Dr. Marin, Dr. Rigiroli and Dr. Schwartz. She will present this paper about the diagnostic performance of Deep Learning Image Reconstruction for low-contrast lesions detectability, in collaboration with RAILabs, Dr. Samei and Dr. Solomon. Also Carolyn Lowry is a co-author in this paper.

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