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International Journal of Neuroscience Volume 132, 2022 - Issue 7
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Original Articles

Alzheimer’s diagnosis using deep learning in segmenting and classifying 3D brain MR images

Tran Anh Tuana Faculty of Mathematics and Computer Science, University of Science, Vietnam National University, Ho Chi Minh City, VietnamCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9994-8077View further author information
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The Bao Phamb Department of Computer Science, Sai Gon University, Ho Chi Minh City, VietnamORCID Iconhttps://orcid.org/0000-0002-4847-4366View further author information
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Jin Young Kimc Department of Electronic and Computer Engineering, Chonnam National University, Gwangju, South KoreaORCID Iconhttps://orcid.org/0000-0002-4896-8980View further author information
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João Manuel R. S. Tavaresd Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, PortugalORCID Iconhttps://orcid.org/0000-0001-7603-6526View further author information
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Pages 689-698 | Received 08 May 2020, Accepted 27 Sep 2020, Published online: 04 Nov 2020

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R. Divya & R. Shantha Selva Kumari. (2022) Detection of Alzheimer’s disease from temporal lobe grey matter slices using 3D CNN. The Imaging Science Journal 70:8, pages 578-587.
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Battula Srinivasa Rao, Mudiyala Aparna, Jonnadula Harikiran & Tatireddy Subba Reddy. An effective Alzheimer’s disease segmentation and classification using Deep ResUnet and Efficientnet. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-12.
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Articles from other publishers (20)

S. Suganyadevi, A. Shiny Pershiya, K. Balasamy, V. Seethalakshmi, Saroj Bala & Kumud Arora. (2024) Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review. SN Computer Science 5:4.
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A. V. Ambili, A. V. Senthil Kumar & Omar S. Saleh. 2024. Artificial Intelligence: Theory and Applications. Artificial Intelligence: Theory and Applications 289 298 .
V Saravanan, Mohammad Yahya, Abbas Hameed Abdul Hussein, Gobinath Ravindran & Myasar Mundher Adnan. (2023) Alzheimer’s Disease Prediction using Deep Learning Technique in 3D Brain Magnetic Resonance Imaging. Alzheimer’s Disease Prediction using Deep Learning Technique in 3D Brain Magnetic Resonance Imaging.
Xuanyi Li, Qiang Kang & Hanxing Gu. (2023) A comprehensive review for machine learning on neuroimaging in obsessive-compulsive disorder. Frontiers in Human Neuroscience 17.
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Piero André Chávez Gavino, Yofre Brayan Poma Chuquillanqui, Jean Pol Daniel Allca Sabuco, Jesus Ananias Arteaga Ortega, Melva Iparraguirre Meza, Jenny Mendoza-Vilcahuaman, Mildred Condor-Privat & Sario Angel Chamorro Quijano. (2023) Design of an Automatic Monitoring System for People with Dementia with an IOT control. Design of an Automatic Monitoring System for People with Dementia with an IOT control.
Pareena Chaitanuwong, Panisa Singhanetr, Methaphon Chainakul, Niracha Arjkongharn, Paisan Ruamviboonsuk & Andrzej Grzybowski. (2023) Potential Ocular Biomarkers for Early Detection of Alzheimer’s Disease and Their Roles in Artificial Intelligence Studies. Neurology and Therapy 12:5, pages 1517-1532.
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Amer Al-Rahayfeh, Saleh Atiewi, Muder Almiani, Mohammad Jararweh & Miad Faezipour. (2023) Utilizing 3D magnetic source imaging with landmark-based features and multi-classification for Alzheimer’s Disease diagnosis. Cluster Computing.
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Muhammad Hamza Mehmood, Farman Hassan, Auliya Ur Rahman, Abdul Rauf & Muhammad Azaz Farooq. (2023) Alzr-Net: A Novel Approach to Detect Alzheimer Disease. Alzr-Net: A Novel Approach to Detect Alzheimer Disease.
Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, Konstantinos Lazaros, Themis P. Exarchos & Panagiotis Vlamos. (2023) Revolutionizing the Early Detection of Alzheimer’s Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning. Sensors 23:9, pages 4184.
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Sivakani Rajayyan & Syed Masood Mohamed Mustafa. (2023) Comparative Analysis of Performance Metrics for Machine Learning Classifiers with a Focus on Alzheimer's Disease Data. Acta Informatica Pragensia 12:1, pages 54-70.
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Shiny Pershiya A, Suganyadevi S, Arun Sekar Rajasekaran, Satheesh N P, Suganthi R & Naveenkumar R. (2023) Alzheimer’s Disease Diagnosis using Deep Learning Approach. Alzheimer’s Disease Diagnosis using Deep Learning Approach.
R. Syed Jamalullah, L. Mary Gladence, Mohammed Altaf Ahmed, E. Laxmi Lydia, Mohamad Khairi Ishak, Myriam Hadjouni & Samih M. Mostafa. (2023) Leveraging Brain MRI for Biomedical Alzheimer’s Disease Diagnosis Using Enhanced Manta Ray Foraging Optimization Based Deep Learning. IEEE Access 11, pages 81921-81929.
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Elisabeth Thomas & S. N. Kumar. 2023. Proceedings of the 4th International Conference on Communication, Devices and Computing. Proceedings of the 4th International Conference on Communication, Devices and Computing 309 322 .
T. Genish, S. Kavitha & S. Vijayalakshmi. (2022) A Precise Computational Method for Hippocampus Segmentation from MRI of Brain to Assist Physicians in the Diagnosis of Alzheimer’s Disease. International Journal of Computational Intelligence and Applications 21:03.
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Deevyankar Agarwal, Manuel Alvaro Berbis, Teodoro Martín-Noguerol, Antonio Luna, Sara Carmen Parrado Garcia & Isabel de la Torre-Díez. (2022) End-to-End Deep Learning Architectures Using 3D Neuroimaging Biomarkers for Early Alzheimer’s Diagnosis. Mathematics 10:15, pages 2575.
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Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai & Jane Alty. (2022) Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions. Journal of Biomedical Informatics 127, pages 104030.
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Tran Anh Tuan & Pham The Bao. 2022. Brain Tumor MRI Image Segmentation Using Deep Learning Techniques. Brain Tumor MRI Image Segmentation Using Deep Learning Techniques 25 36 .
Muhammad Faraz Ahmad, Shahzad Akbar, Syed Al E Hassan, Amjad Rehman & Noor Ayesha. (2021) Deep Learning Approach to Diagnose Alzheimer’s Disease through Magnetic Resonance Images. Deep Learning Approach to Diagnose Alzheimer’s Disease through Magnetic Resonance Images.
Xiangbin Liu, Liping Song, Shuai Liu & Yudong Zhang. (2021) A Review of Deep-Learning-Based Medical Image Segmentation Methods. Sustainability 13:3, pages 1224.
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Xinyu Sun. (2021) Application and Comparison of Artificial Neural Networks and XGBoost on Alzheimer's Disease. Application and Comparison of Artificial Neural Networks and XGBoost on Alzheimer's Disease.

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