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Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts

Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts. Our method models the intensity decay of artifact intensities and is desi...

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Detalles Bibliográficos
Autores principales:	Hung, Alex Ling Yu, Chen, Edward, Galeotti, John
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AAAS 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521739/ https://www.ncbi.nlm.nih.gov/pubmed/37850165 http://dx.doi.org/10.34133/2022/9837076

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