Convolutional Neural Networks for Fully Automated Diagnosis of Cardiac Amyloidosis by Cardiac Magnetic Resonance Imaging

Aims: We tested the hypothesis that artificial intelligence (AI)-powered algorithms applied to cardiac magnetic resonance (CMR) images could be able to detect the potential patterns of cardiac amyloidosis (CA). Readers in CMR centers with a low volume of referrals for the detection of myocardial sto...

Descripción completa

Detalles Bibliográficos
Autores principales: Agibetov, Asan, Kammerlander, Andreas, Duca, Franz, Nitsche, Christian, Koschutnik, Matthias, Donà, Carolina, Dachs, Theresa-Marie, Rettl, René, Stria, Alessa, Schrutka, Lore, Binder, Christina, Kastner, Johannes, Agis, Hermine, Kain, Renate, Auer-Grumbach, Michaela, Samwald, Matthias, Hengstenberg, Christian, Dorffner, Georg, Mascherbauer, Julia, Bonderman, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705947/
https://www.ncbi.nlm.nih.gov/pubmed/34945740
http://dx.doi.org/10.3390/jpm11121268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705947/
https://www.ncbi.nlm.nih.gov/pubmed/34945740
http://dx.doi.org/10.3390/jpm11121268

Ejemplares similares