Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier

PURPOSE: In oncology, texture features extracted from positron emission tomography with 18-fluorodeoxyglucose images (FDG-PET) are of increasing interest for predictive and prognostic studies, leading to several tens of features per tumor. To select the best features, the use of a random forest (RF)...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:PLoS One
Glavni autori: Desbordes, Paul, Ruan, Su, Modzelewski, Romain, Pineau, Pascal, Vauclin, Sébastien, Gouel, Pierrick, Michel, Pierre, Di Fiore, Frédéric, Vera, Pierre, Gardin, Isabelle
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2017
Teme:
Research Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5345816/
https://ncbi.nlm.nih.gov/pubmed/28282392
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0173208
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items