Background Subtraction Angiography with Deep Learning Using Multi-frame Spatiotemporal Angiographic Input.

Catheter Digital Subtraction Angiography (DSA) is markedly degraded by all voluntary, respiratory, or cardiac motion artifact that occurs during the exam acquisition. Prior efforts directed toward improving DSA images with machine learning have focused on extracting vessels from individual, isolated...

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Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 37; no. 1; pp. 134 - 145
Autores principales:	Cantrell, Donald R., Cho, Leon, Zhou, Chaochao, Faruqui, Syed H. A., Potts, Matthew B., Jahromi, Babak S., Abdalla, Ramez, Shaibani, Ali, Ansari, Sameer A.
Formato:	diagnostic images equations & formulas tables/charts Journal Article
Publicado:	Springer Nature Feb2024
Acceso en línea:	Ver este registro en EBSCOhost