Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease

Noushath Shaffi; Faizal Hajamohideen; Mufti Mahmud; Abdelhamid Abdesselam; Karthikeyan Subramanian; Arwa Al Sariri

doi:10.1007/978-3-031-15037-1_23

Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease

Noushath Shaffi^*
, Faizal Hajamohideen
, Mufti Mahmud
, Abdelhamid Abdesselam
, Karthikeyan Subramanian
, Arwa Al Sariri

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

29 Scopus citations

Abstract

Alzheimer’s disease (AD) is a neurodegenerative disease that causes irreversible damage to several brain regions including the hippocampus causing impairment in cognition, function and behaviour. Earlier diagnosis of the disease will reduce the suffering of the patients and their family members. Towards that aim, this paper presents a Siamese Convolutional Neural Network (CNN) based model using the Triplet-loss function for the 4-way classification of AD. We evaluated our models using both pre-trained and non-pre-trained CNNs. The models’ efficacy was tested on the OASIS dataset and obtained satisfactory results under a data-scarce real-time environment.

Original language	English
Title of host publication	Brain Informatics - 15th International Conference, BI 2022, Proceedings
Editors	Mufti Mahmud, Jing He, Stefano Vassanelli, André van Zundert, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	277-287
Number of pages	11
ISBN (Print)	9783031150364
DOIs	https://doi.org/10.1007/978-3-031-15037-1_23
State	Published - 2022
Externally published	Yes
Event	15th International Conference on Brain Informatics, BI 2022 - Virtual, Online Duration: 15 Jul 2022 → 17 Jul 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13406 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Brain Informatics, BI 2022
City	Virtual, Online
Period	15/07/22 → 17/07/22

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Keywords

Alzheimer’s disease
Mild cognitive impairment
Siamese CNN
Structural magnetic resonance imaging
Triplet-loss

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-15037-1_23

Cite this

Shaffi, N., Hajamohideen, F., Mahmud, M., Abdesselam, A., Subramanian, K., & Sariri, A. A. (2022). Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease. In M. Mahmud, J. He, S. Vassanelli, A. van Zundert, & N. Zhong (Eds.), Brain Informatics - 15th International Conference, BI 2022, Proceedings (pp. 277-287). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13406 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15037-1_23

Shaffi, Noushath ; Hajamohideen, Faizal ; Mahmud, Mufti et al. / Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease. Brain Informatics - 15th International Conference, BI 2022, Proceedings. editor / Mufti Mahmud ; Jing He ; Stefano Vassanelli ; André van Zundert ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2022. pp. 277-287 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer{\textquoteright}s Disease",

abstract = "Alzheimer{\textquoteright}s disease (AD) is a neurodegenerative disease that causes irreversible damage to several brain regions including the hippocampus causing impairment in cognition, function and behaviour. Earlier diagnosis of the disease will reduce the suffering of the patients and their family members. Towards that aim, this paper presents a Siamese Convolutional Neural Network (CNN) based model using the Triplet-loss function for the 4-way classification of AD. We evaluated our models using both pre-trained and non-pre-trained CNNs. The models{\textquoteright} efficacy was tested on the OASIS dataset and obtained satisfactory results under a data-scarce real-time environment.",

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author = "Noushath Shaffi and Faizal Hajamohideen and Mufti Mahmud and Abdelhamid Abdesselam and Karthikeyan Subramanian and Sariri, \{Arwa Al\}",

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Shaffi, N, Hajamohideen, F, Mahmud, M, Abdesselam, A, Subramanian, K & Sariri, AA 2022, Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease. in M Mahmud, J He, S Vassanelli, A van Zundert & N Zhong (eds), Brain Informatics - 15th International Conference, BI 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13406 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 277-287, 15th International Conference on Brain Informatics, BI 2022, Virtual, Online, 15/07/22. https://doi.org/10.1007/978-3-031-15037-1_23

Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease. / Shaffi, Noushath; Hajamohideen, Faizal; Mahmud, Mufti et al.
Brain Informatics - 15th International Conference, BI 2022, Proceedings. ed. / Mufti Mahmud; Jing He; Stefano Vassanelli; André van Zundert; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2022. p. 277-287 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13406 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Abdesselam, Abdelhamid

AU - Subramanian, Karthikeyan

AU - Sariri, Arwa Al

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Shaffi N, Hajamohideen F, Mahmud M, Abdesselam A, Subramanian K, Sariri AA. Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease. In Mahmud M, He J, Vassanelli S, van Zundert A, Zhong N, editors, Brain Informatics - 15th International Conference, BI 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 277-287. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-15037-1_23