Assessing and testing anomaly detection for finding prostate cancer in spatially registered multi-parametric MRI

BACKGROUND: Evaluating and displaying prostate cancer through non-invasive imagery such as Multi-Parametric MRI (MP-MRI) bolsters management of patients. Recent research quantitatively applied supervised target algorithms using vectoral tumor signatures to spatially registered T1, T2, Diffusion, and...

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Detalles Bibliográficos
Autores principales: Mayer, Rulon, Turkbey, Baris, Choyke, Peter, Simone, Charles B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869917/
https://www.ncbi.nlm.nih.gov/pubmed/36698418
http://dx.doi.org/10.3389/fonc.2022.1033323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869917/
https://www.ncbi.nlm.nih.gov/pubmed/36698418
http://dx.doi.org/10.3389/fonc.2022.1033323

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