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Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes
We explored whether radiomic features from T1 maps by cardiac magnetic resonance (CMR) could enhance the diagnostic value of T1 mapping in distinguishing health from disease and classifying cardiac disease phenotypes. A total of 149 patients (n = 30 with no heart disease, n = 30 with LVH, n = 61 wit...
Autores principales: | Antonopoulos, Alexios S., Boutsikou, Maria, Simantiris, Spyridon, Angelopoulos, Andreas, Lazaros, George, Panagiotopoulos, Ioannis, Oikonomou, Evangelos, Kanoupaki, Mikela, Tousoulis, Dimitris, Mohiaddin, Raad H., Tsioufis, Konstantinos, Vlachopoulos, Charalambos |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654857/ https://www.ncbi.nlm.nih.gov/pubmed/34880319 http://dx.doi.org/10.1038/s41598-021-02971-z |
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