Towards Alzheimer’s Disease Classification through Transfer Learning
論文鏈接：https://arxiv.org/abs/1711.11117 code：https://github.com/marciahon29/Ryerson_MRP 摘要： 利用遷移學習解決醫學圖像數據較少的問題。VGG和inception是通過預訓練的權重進行初始化，然後在全鏈接成只使用少量的MRI影像進行retrain。我們通過熵來選擇信息量較大的圖像進行訓練。 數據集：OASIS MR
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相關文章
- 1. [TMI2019-10]Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-M
- 2. transfer learning
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