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Fully 3D Active Surface with Machine Learning for PET Image Segmentation

In order to tackle three-dimensional tumor volume reconstruction from Positron Emission Tomography (PET) images, most of the existing algorithms rely on the segmentation of independent PET slices. To exploit cross-slice information, typically overlooked in these 2D implementations, I present an algo...

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Detalles Bibliográficos
Autor principal: Comelli, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321170/
https://www.ncbi.nlm.nih.gov/pubmed/34460557
http://dx.doi.org/10.3390/jimaging6110113