Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics

SIMPLE SUMMARY: The use of radiomics has been studied to predict Gleason Score from bi-parametric prostate MRI examinations. However, different combinations of type of input data (whole prostate gland/lesion features), sampling strategy, feature selection method and machine learning algorithm can be...

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Detalles Bibliográficos
Autores principales: Rodrigues, Ana, Santinha, João, Galvão, Bernardo, Matos, Celso, Couto, Francisco M., Papanikolaou, Nickolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657292/
https://www.ncbi.nlm.nih.gov/pubmed/34885175
http://dx.doi.org/10.3390/cancers13236065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657292/
https://www.ncbi.nlm.nih.gov/pubmed/34885175
http://dx.doi.org/10.3390/cancers13236065

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