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Time-Distanced Gates in Long Short-Term Memory Networks
The Long Short-Term Memory (LSTM) network is widely used in modeling sequential observations in fields ranging from natural language processing to medical imaging. The LSTM has shown promise for interpreting computed tomography (CT) in lung screening protocols. Yet, traditional image-based LSTM mode...
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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: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7484010/ https://ncbi.nlm.nih.gov/pubmed/32745977 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101785 |
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