| Title |
Deep learning in Alzheimer’s disease / |
| Authors |
Maskeliunas, Rytis |
| DOI |
10.15388/DAMSS.12.2021 |
| ISBN |
9786090706732 |
| eISBN |
9786090706749 |
| Full Text |
|
| Is Part of |
DAMSS 2021: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021 / Lithuanian computer society, Vilnius university Institute of data science and digital technologies, Lithuanian academy of sciences.. Vilnius : Vilnius university press, 2021. p. 49.. ISBN 9786090706732. eISBN 9786090706749 |
| Abstract [eng] |
Deep learning has shown tremendous potential in medical applications, not excluding hard to detect symptoms of Alzheimer’s and related diseases. Accessibility of data deriving from neuroimaging techniques, such as structural and functional MRI, positron emission tomography and imaging genetics allowed a breakthrough in clinical decision support. The presentation showcases a range of models and applications, discussing challenges and implications within this topic. |
| Published |
Vilnius : Vilnius university press, 2021 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
