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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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| 出版年: | Mach Learn Med Imaging |
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| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 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 |
| タグ: |
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