Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images

Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task. In this scenario, the use of automated algorithms for prostate segmentation allows us to bypass t...

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Detalles Bibliográficos
Autores principales: Salvi, Massimo, De Santi, Bruno, Pop, Bianca, Bosco, Martino, Giannini, Valentina, Regge, Daniele, Molinari, Filippo, Meiburger, Kristen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146644/
https://www.ncbi.nlm.nih.gov/pubmed/35621897
http://dx.doi.org/10.3390/jimaging8050133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146644/
https://www.ncbi.nlm.nih.gov/pubmed/35621897
http://dx.doi.org/10.3390/jimaging8050133

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