Bridging the gap between prostate radiology and pathology through machine learning

BACKGROUND: Prostate cancer remains the second deadliest cancer for American men despite clinical advancements. Currently, magnetic resonance imaging (MRI) is considered the most sensitive non‐invasive imaging modality that enables visualization, detection, and localization of prostate cancer, and i...

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Detalles Bibliográficos
Autores principales: Bhattacharya, Indrani, Lim, David S., Aung, Han Lin, Liu, Xingchen, Seetharaman, Arun, Kunder, Christian A., Shao, Wei, Soerensen, Simon J. C., Fan, Richard E., Ghanouni, Pejman, To'o, Katherine J., Brooks, James D., Sonn, Geoffrey A., Rusu, Mirabela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543295/
https://www.ncbi.nlm.nih.gov/pubmed/35633505
http://dx.doi.org/10.1002/mp.15777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543295/
https://www.ncbi.nlm.nih.gov/pubmed/35633505
http://dx.doi.org/10.1002/mp.15777

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