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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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Foilsithe in:Cancers (Basel)
Main Authors: Chaddad, Ahmad, Kucharczyk, Michael J, Niazi, Tamim
Formáid: Artigo
Teanga:Inglês
Foilsithe: MDPI 2018
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6116195/
https://ncbi.nlm.nih.gov/pubmed/30060575
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers10080249
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