Conference
Using deep-learning to predict outcome of patients with Parkinson’s disease
Abstract
There are currently no established disease modifying therapies for PD, and prediction of outcome in PD to power clinical studies is a very important area of research. Assessment of PD is informed by imaging the dopamine system with dopamine transporter (DAT) single-photon emission computed tomography (SPECT) imaging and by the presence of key symptoms. Recently, deep-learning based methods have shown promise for medical image analysis tasks and …
Authors
Leung KH; Salmanpour MR; Saberi A; Klyuzhin IS; Sossi V; Jha AK; Pomper MG; Du Y; Rahmim A
Volume
00
Pagination
pp. 1-4
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
November 17, 2018
DOI
10.1109/nssmic.2018.8824432
Name of conference
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC)