Yüklüyor......
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
Recently, there have been great interests for computer-aided diagnosis of Alzheimer’s disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous methods that considered simple low-level features such as gray matter tissue volumes from MRI, and mean signal intensities...
Kaydedildi:
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2013
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4065852/ https://ncbi.nlm.nih.gov/pubmed/24363140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00429-013-0687-3 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|