Name
Title | ||
|---|---|---|
Convolutional Autoencoder based Deep Learning Approach for Alzheimer's Disease Diagnosis using Brain MRI |
Abstract | ||
|---|---|---|
Rapid and accurate diagnosis of Alzheimer's disease (AD) is critical for patient treatment, especially in the early stages of the disease. While computer-assisted diagnosis based on neuroimaging holds vast potential for helping clinicians detect disease sooner, there are still some technical hurdles to overcome. This study presents an end-to-end disease detection approach using convolutional autoe... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CBMS52027.2021.00097 | 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) |
Keywords | DocType | ISBN |
Neuroimaging,Deep learning,Solid modeling,Three-dimensional displays,Magnetic resonance imaging,Medical treatment,Tools | Conference | 978-1-6654-4121-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ekin Yagis | 1 | 0 | 0.68 |
| Alba G. Seco De Herrera | 2 | 0 | 1.69 |
| luca citi | 3 | 168 | 27.88 |