Multimodal Radiomic Features for the Predicting Gleason Score of Prostate Cancer

Background: Novel radiomic features are enabling the extraction of biological data from routine sequences of MRI images. This study’s purpose was to establish a new model, based on the joint intensity matrix (JIM), to predict the Gleason score (GS) of prostate cancer (PCa) patients. Methods: A retro...

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Detalles Bibliográficos
Autores principales: Chaddad, Ahmad, Kucharczyk, Michael J, Niazi, Tamim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116195/
https://www.ncbi.nlm.nih.gov/pubmed/30060575
http://dx.doi.org/10.3390/cancers10080249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116195/
https://www.ncbi.nlm.nih.gov/pubmed/30060575
http://dx.doi.org/10.3390/cancers10080249

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