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Early diagnosis of the disease will reduce the suffering of the patients and their family members. Towards this aim, in this paper, we propose a Siamese Convolutional Neural Network (SCNN) architecture that employs the triplet-loss function for the representation of input MRI images as\n                    <jats:italic>k<\/jats:italic>\n                    -dimensional embeddings. We used both pre-trained and non-pretrained CNNs to transform images into the embedding space. These embeddings are subsequently used for the 4-way classification of Alzheimer\u2019s disease. The model efficacy was tested using the ADNI and OASIS datasets which produced an accuracy of 91.83% and 93.85%, respectively. Furthermore, obtained results are compared with similar methods proposed in the literature.\n                  <\/jats:p>","DOI":"10.1186\/s40708-023-00184-w","type":"journal-article","created":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T12:02:52Z","timestamp":1676635372000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":90,"title":["Four-way classification of Alzheimer\u2019s disease using deep Siamese convolutional neural network with triplet-loss function"],"prefix":"10.1186","volume":"10","author":[{"given":"Faizal","family":"Hajamohideen","sequence":"first","affiliation":[]},{"given":"Noushath","family":"Shaffi","sequence":"additional","affiliation":[]},{"given":"Mufti","family":"Mahmud","sequence":"additional","affiliation":[]},{"given":"Karthikeyan","family":"Subramanian","sequence":"additional","affiliation":[]},{"given":"Arwa","family":"Al Sariri","sequence":"additional","affiliation":[]},{"given":"Viswan","family":"Vimbi","sequence":"additional","affiliation":[]},{"given":"Abdelhamid","family":"Abdesselam","sequence":"additional","affiliation":[]},{"name":"for the Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,17]]},"reference":[{"key":"184_CR1","unstructured":"Gauthier S, Rosa-Neto P, Morais J, Webster C (2021) World Alzheimer Report 2021: journey through the diagnosis of dementia. 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