On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods.

Tufail AB, Ullah K, Khan RA, Shakir M, Khan MA, Ullah I, Ma YK, Ali MS

DOI: 10.1155/2022/1302170
Published: 2022
Container: Journal of healthcare engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/1302170,
  title = {On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods.},
  author = {Tufail AB and Ullah K and Khan RA and Shakir M and Khan MA and Ullah I and Ma YK and Ali MS},
  year = {2022},
  journal = {Journal of healthcare engineering},
  doi = {10.1155/2022/1302170},
  url = {https://doi.org/10.1155/2022/1302170}
}

RIS

TY  - JOUR
TI  - On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods.
AU  - Tufail AB
AU  - Ullah K
AU  - Khan RA
AU  - Shakir M
AU  - Khan MA
AU  - Ullah I
AU  - Ma YK
AU  - Ali MS
PY  - 2022
JO  - Journal of healthcare engineering
DO  - 10.1155/2022/1302170
UR  - https://doi.org/10.1155/2022/1302170
ER  -

APA

AB, T., K, U., RA, K., M, S., MA, K., I, U., YK, M., & MS, A. (2022). On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods.. Journal of healthcare engineering. https://doi.org/10.1155/2022/1302170

Source records

pubmed · retrieved 2026-09-25T11:40:34.211Z