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Multi-slice representational learning of convolutional neural network for Alzheimer’s disease classification using positron emission tomography
Abstract Background Alzheimer’s Disease (AD) is a degenerative brain disorder that often occurs in people over 65 years old. As advanced AD is difficult to manage, accurate diagnosis of the disorder is critical. Previous studies have revealed effective deep learning methods of classification. Howeve...
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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BMC
2020-09-01
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| Serie: | BioMedical Engineering OnLine |
| Ämnen: | |
| Länkar: | http://link.springer.com/article/10.1186/s12938-020-00813-z |
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