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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...
Autores principales: | Mayer, Rulon, Turkbey, Baris, Choyke, Peter, Simone, Charles B. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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