Benutzer: Gast  Login
Titel:

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images.

Dokumenttyp:
Journal Article
Autor(en):
Zhao, Yu; Cumming, Paul; Rominger, Axel; Zuo, Chuantao; Shi, Kuangyu; Wu, Ping; Wang, Jian; Li, Hongwei; Navab, Nassir; Yakushev, Igor; Weber, Wolfgang; Schwaiger, Markus; Huang, Sung-Cheng
Abstract:
Idiopathic Parkinsons disease and atypical parkinsonian syndromes have similar symptoms at early disease stages, which makes the early differential diagnosis difficult. Positron emission tomography with 18F-FDG shows the ability to assess early neuronal dysfunction of neurodegenerative diseases and is well established for clinical use. In the past decades, machine learning methods have been widely used for the differential diagnosis of parkinsonism based on metabolic patterns. Unlike these conve...     »
Zeitschriftentitel:
Conf Proc IEEE Eng Med Biol Soc
Jahr:
2019
Band / Volume:
2019
Seitenangaben Beitrag:
3531-3534
Volltext / DOI:
doi:10.1109/EMBC.2019.8856747
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/31946640
Print-ISSN:
1557-170X
TUM Einrichtung:
Klinik und Poliklinik für Nuklearmedizin
 BibTeX