Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images

Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images remains still complex even for experts. This paper proposes a fully automatic system based on Deep Learning that performs localiz...

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Detalles Bibliográficos
Autores principales: Pellicer-Valero, Oscar J., Marenco Jiménez, José L., Gonzalez-Perez, Victor, Casanova Ramón-Borja, Juan Luis, Martín García, Isabel, Barrios Benito, María, Pelechano Gómez, Paula, Rubio-Briones, José, Rupérez, María José, Martín-Guerrero, José D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864013/
https://www.ncbi.nlm.nih.gov/pubmed/35194056
http://dx.doi.org/10.1038/s41598-022-06730-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864013/
https://www.ncbi.nlm.nih.gov/pubmed/35194056
http://dx.doi.org/10.1038/s41598-022-06730-6

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