Deep learning-based classification of dementia using image representation of subcortical signals
The results highlight that the image representation-based deep learning approach has the potential to differentiate various stages of dementia. It pave the way for more accurate and early diagnosis, which is crucial for the effective treatment and management of debilitating conditions.
Authors
- Robin Badal (ORCID: https://orcid.org/0000-0003-3675-5790)
- Lalan Kumar (ORCID: https://orcid.org/0000-0001-7000-7492)
- Ayush Tripathi (ORCID: https://orcid.org/0000-0002-7944-2260)
- Pramod Kumar Yadav (ORCID: https://orcid.org/0000-0003-2763-7848)
- Deepak Joshi
- Amit Kumar (ORCID: https://orcid.org/0000-0001-8499-6324)
- Shivani Ranjan (ORCID: https://orcid.org/0000-0002-3336-448X)
- Harshal Shende
Institutions
- National Institute of Ayurveda (IN)
- Indian Institute of Technology Delhi (IN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1186/s12911-025-02924-w
- Citations
- 7
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 10.02