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SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot recognition
AIM: This study proposes a new artificial intelligence model based on cardiovascular computed tomography for more efficient and precise recognition of Tetralogy of Fallot (TOF). METHODS: Our model is a structurally optimized stochastic pooling convolutional neural network (SOSPCNN), which combines s...
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| Veröffentlicht in: | Wirel Commun Mob Comput |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7612722/ https://ncbi.nlm.nih.gov/pubmed/35573891 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5792975 |
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