Laddar...
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...
Sparad:
| Huvudupphovsmän: | , , |
|---|---|
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2013
|
| Ämnen: | |
| Länkar: | 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 |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|