ロード中...

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT

We developed a kernelled support tensor machine (KSTM)-based model with tumor tensors derived from pre-treatment PET and CT imaging as input to predict distant failure in early stage non-small cell lung cancer (NSCLC) treated with stereotactic body radiation therapy (SBRT). The patient cohort includ...

詳細記述

保存先:
書誌詳細
出版年:Med Image Anal
主要な著者: Li, Shulong, Li, Bin, Zhou, Zhiguo, Yang, Ning, Hao, Hongxia, Folkert, Michael R., Iyengar, Puneeth, Westover, Kenneth, Choy, Hak, Timmerman, Robert, Jiang, Steve, Wang, Jing
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6237633/
https://ncbi.nlm.nih.gov/pubmed/30266009
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2018.09.004
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!