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Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

The field of lung nodule detection and cancer prediction has been rapidly developing with the support of large public data archives. Previous studies have largely focused cross-sectional (single) CT data. Herein, we consider longitudinal data. The Long Short-Term Memory (LSTM) model addresses learni...

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書誌詳細
出版年:Mach Learn Med Imaging
主要な著者: Gao, Riqiang, Huo, Yuankai, Bao, Shunxing, Tang, Yucheng, Antic, Sanja L., Epstein, Emily S., Balar, Aneri B., Deppen, Steve, Paulson, Alexis B., Sandler, Kim L., Massion, Pierre P., Landman, Bennett A.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8148226/
https://ncbi.nlm.nih.gov/pubmed/34040283
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