| Title |
Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonance imaging with clinical valuation
|
|---|---|
| Published in |
Alzheimer's & Dementia: Translational Research & Clinical Interventions, January 2019
|
| DOI | 10.1016/j.trci.2019.10.001 |
| Pubmed ID | |
| Authors |
Shaik Basheera, M Satya Sai Ram |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 12% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Researcher | 8 | 7% |
| Lecturer | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 49 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 20% |
| Engineering | 14 | 13% |
| Psychology | 4 | 4% |
| Medicine and Dentistry | 3 | 3% |
| Neuroscience | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 54 | 50% |