TY - GEN
T1 - Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease
AU - Shaffi, Noushath
AU - Hajamohideen, Faizal
AU - Mahmud, Mufti
AU - Abdesselam, Abdelhamid
AU - Subramanian, Karthikeyan
AU - Sariri, Arwa Al
N1 - Funding Information:
This work is funded by the Ministry of Higher Education, Research and Innovation (MoHERI) of the sultanate of Oman under the Block Funding Program (Grant number-MoHERI/BFP/UoTAS/01/2021).
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
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PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Alzheimer’s disease
KW - Mild cognitive impairment
KW - Siamese CNN
KW - Structural magnetic resonance imaging
KW - Triplet-loss
UR - http://www.scopus.com/inward/record.url?scp=85136980441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136980441&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/f4cde57e-9dc8-30b6-b740-5b015a97d179/
U2 - 10.1007/978-3-031-15037-1_23
DO - 10.1007/978-3-031-15037-1_23
M3 - Conference contribution
AN - SCOPUS:85136980441
SN - 9783031150364
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 277
EP - 287
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Mahmud, Mufti
A2 - He, Jing
A2 - Vassanelli, Stefano
A2 - van Zundert, André
A2 - Zhong, Ning
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Brain Informatics, BI 2022
Y2 - 15 July 2022 through 17 July 2022
ER -