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A survey on various Alzheimer classification techniques using 3D MRI images: a challenging overview
Neethu Mecheri, Roopa Jayasingh. International Journal of Information and Decision Sciences, 2025-01-01
Topic: Amyloid, tau and blood-test diagnosis
This survey presents 50 research papers focussed on various techniques in Alzheimer classification techniques using 3D MRI images, and the categorisation of the techniques is made based on the fusion-based, convolutional neural network (CNN)-based, random forest (RF)-based and support vector machine (SVM)-based approaches. Finally, the analysis is to be promoted in the survey based on the research technique, publication year, employed tools, utilised dataset, performance measures and achievement of the research methodologies towards Alzheimer classification techniques using 3D MRI images. At the end, the research gaps and issues of the techniques for Alzheimer classification techniques using 3D MRI images is to be revealed.
Key findings
- At the end, the research gaps and issues of the techniques for Alzheimer classification techniques using 3D MRI images is to be revealed.
Why it matters
This survey reviewed 50 research papers on techniques for classifying Alzheimer's disease using 3D MRI images. It identifies research gaps and issues in these classification methods rather than reporting a new treatment or cure.
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Study details
- Evidence strengthLow
How this study scored 25/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (International Journal of Information and Decision Sciences) |
| Journal's citation record | 0 / 4 | International Journal of Information and Decision Sciences: journal h-index 20 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 1 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.3 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 1 / 6 | Cited 0.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 0 / 4 | Last-listed author Roopa Jayasingh: h-index 1 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Karunya University: institution h-index 159 (OpenAlex) |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 25 / 100 | — |
What each of these 20 components measures, and what this score is not →
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
Mecheri, N., & Jayasingh, R. (2025). A survey on various Alzheimer classification techniques using 3D MRI images: a challenging overview. International Journal of Information and Decision Sciences. https://doi.org/10.1504/ijids.2025.146702
Vancouver
Mecheri N, Jayasingh R. A survey on various Alzheimer classification techniques using 3D MRI images: a challenging overview. International Journal of Information and Decision Sciences. 2025. doi:10.1504/ijids.2025.146702.
BibTeX
@article{mecheri2025-570ce2ff,
author = {Mecheri, Neethu and Jayasingh, Roopa},
title = {{A survey on various Alzheimer classification techniques using 3D MRI images: a challenging overview}},
journal = {International Journal of Information and Decision Sciences},
year = {2025},
doi = {10.1504/ijids.2025.146702},
url = {https://doi.org/10.1504/ijids.2025.146702}
}
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