Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation

Cardiac cine magnetic resonance imaging (MRI) is a widely used technique for the noninvasive assessment of cardiac functions. Deep neural networks have achieved considerable progress in overcoming various challenges in cine MRI analysis. However, deep learning models cannot be used for classificatio...

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Detalles Bibliográficos
Autores principales: Wibowo, Adi, Triadyaksa, Pandji, Sugiharto, Aris, Sarwoko, Eko Adi, Nugroho, Fajar Agung, Arai, Hideo, Kawakubo, Masateru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318676/
https://www.ncbi.nlm.nih.gov/pubmed/35877637
http://dx.doi.org/10.3390/jimaging8070194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318676/
https://www.ncbi.nlm.nih.gov/pubmed/35877637
http://dx.doi.org/10.3390/jimaging8070194

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