Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/7443
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kumar, Madhurendra | - |
dc.date.accessioned | 2024-05-22T06:58:54Z | - |
dc.date.available | 2024-05-22T06:58:54Z | - |
dc.date.issued | 2024-03 | - |
dc.identifier.citation | 34p. | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/7443 | - |
dc.description | Dissertation under the supervision of Dr. Kuntal Ghosh | en_US |
dc.language.iso | en | en_US |
dc.publisher | Indian Statistical Institute, Kolkata | en_US |
dc.relation.ispartofseries | MTech(CS) Dissertation;21-35 | - |
dc.subject | 3D CNN | en_US |
dc.subject | Eidetic 3D LSTM | en_US |
dc.subject | fMRI | en_US |
dc.subject | Machine Learning methods | en_US |
dc.title | Classification of Alzheimer's Disease by Machine Learning methods using MRI and fMRI data | en_US |
dc.type | Other | en_US |
Appears in Collections: | Dissertations - M Tech (CS) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Madhurendra Kumar-MTecs-2135-27-3-24.pdf | 7.45 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.