MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

BACKGROUND: Quantitative radiomic features provide a plethora of minable data extracted from multi-parametric magnetic resonance imaging (MP-MRI) which can be used for accurate detection and localization of prostate cancer. While most cancer detection algorithms utilize either voxel-based or region-...

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Detalles Bibliográficos
Autores principales: Khalvati, Farzad, Zhang, Junjie, Chung, Audrey G., Shafiee, Mohammad Javad, Wong, Alexander, Haider, Masoom A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956891/
https://www.ncbi.nlm.nih.gov/pubmed/29769042
http://dx.doi.org/10.1186/s12880-018-0258-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956891/
https://www.ncbi.nlm.nih.gov/pubmed/29769042
http://dx.doi.org/10.1186/s12880-018-0258-4

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