Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications

Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep learning approaches has gained much interest, due to the potential application in assisting in clinical decision-making. Objective: To systematically review the literature (i) to determine which algorithms are...

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Detalles Bibliográficos
Autores principales: Castillo T., Jose M., Arif, Muhammad, Niessen, Wiro J., Schoots, Ivo G., Veenland, Jifke F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352160/
https://www.ncbi.nlm.nih.gov/pubmed/32560558
http://dx.doi.org/10.3390/cancers12061606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352160/
https://www.ncbi.nlm.nih.gov/pubmed/32560558
http://dx.doi.org/10.3390/cancers12061606

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