Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI

BACKGROUND: The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer. We propose a novel approach called multi-flavored feature extraction or tensor, which combines four mpMRI image...

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Detalles Bibliográficos
Autores principales: Khanfari, Hasan, Mehranfar, Saeed, Cheki, Mohsen, Mohammadi Sadr, Mahmoud, Moniri, Samir, Heydarheydari, Sahel, Rezaeijo, Seyed Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664625/
https://www.ncbi.nlm.nih.gov/pubmed/37993801
http://dx.doi.org/10.1186/s12880-023-01140-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664625/
https://www.ncbi.nlm.nih.gov/pubmed/37993801
http://dx.doi.org/10.1186/s12880-023-01140-0

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