Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging

BACKGROUND: To propose fully automatic segmentation of left atrium using active learning with limited dataset in late gadolinium enhancement in cardiac magnetic resonance imaging (LGE-CMRI). METHODS: An active learning framework was developed to segment the left atrium in cardiac LGE-CMRI. Patients...

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Detalles Bibliográficos
Autores principales: Cho, Yongwon, Cho, Hyungjoon, Shim, Jaemin, Choi, Jong-Il, Kim, Young-Hoon, Kim, Namkug, Oh, Yu-Whan, Hwang, Sung Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485068/
https://www.ncbi.nlm.nih.gov/pubmed/36123960
http://dx.doi.org/10.3346/jkms.2022.37.e271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485068/
https://www.ncbi.nlm.nih.gov/pubmed/36123960
http://dx.doi.org/10.3346/jkms.2022.37.e271

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