Predicting Treatment Response to Intra-arterial Therapies of Hepatocellular Carcinoma using Supervised Machine Learning—An Artificial Intelligence Concept

PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of trans-arterial chemoembolization (TACE) by applying machine learning (ML) techniques. METHODS: This study included 36 patients w...

Full beskrivning

Sparad:
Bibliografiska uppgifter
I publikationen:J Vasc Interv Radiol
Huvudupphovsmän: Abajian, Aaron, Murali, Nikitha, Savic, Lynn Jeanette, Laage-Gaupp, Fabian Max, Nezami, Nariman, Duncan, James S., Schlachter, Todd, Lin, MingDe, Geschwind, Jean-François, Chapiro, Julius
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2018
Ämnen:
Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5970021/
https://ncbi.nlm.nih.gov/pubmed/29548875
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jvir.2018.01.769
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk