Navigating Neuroimaging Datasets ADNI for Alzheimer's Disease
| Autor: | Haymanot Gebre-Amlak, N. Nan Chu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Deep learning Disease Data science Computer Science Applications Subject matter Human-Computer Interaction Technical support Software Neuroimaging Hardware and Architecture Learning curve Artificial intelligence Electrical and Electronic Engineering User interface business |
| Zdroj: | IEEE Consumer Electronics Magazine. 10:61-63 |
| ISSN: | 2162-2256 2162-2248 |
| DOI: | 10.1109/mce.2021.3056872 |
| Popis: | Many researchers have used the Alzheimer's Disease Neuroimaging Initiative (ADNI) to project Alzheimer's disease patients' brain images. However, the learning curve required to use the ADNI is not trivial; supplements are required to work with the complexity of the subject matter and convoluted user interface in times of insufficient software extensions or technical support. Meanwhile, papers published about the ADNI have involved popular artificial intelligence models while showing uneven performance, many supplying incomparable accuracy figures. A tutorial is thus offered, beyond what can be found in the ADNI website, for furthering research about Alzheimer's disease. It also recommends areas of enhancements to make ADNI datasets more user-friendly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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