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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...
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| 出版年: | Med Image Anal |
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| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 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 |
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