Deep Learning Approach to Diagnose Alzheimer’s Disease through Magnetic Resonance Images-Reference-Cited by-同舟云学术

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Deep Learning Approach to Diagnose Alzheimer’s Disease through Magnetic Resonance Images

Published:2021-11-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Innovative Computing (ICIC)
language:
Short-container-title:

Author:

Ahmad Muhammad Faraz¹,Akbar Shahzad¹,Hassan Syed Al E¹,Rehman Amjad²,Ayesha Noor³

Affiliation:

1. Riphah International University,Ripah College of Computing,Faisalabad,Pakistan

2. Prince Sultan University,Artificial Intelligence & Data Analytics Lab (AIDA),Riyadh,Saudi Arabia

3. Zhengzhou University,School of Clinical Medicine,Zhengzhou,Henan,RP China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9692906/9691502/09693041.pdf?arnumber=9693041

Reference44 articles.

1. Retinal imaging analysis based on vessel detection

2. A fusion-based machine learning approach for the prediction of the onset of diabetes;nadeem;HealthcarePapers,2021

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1. Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT);Pattern Analysis and Applications;2024-07-01

2. Deep learning based computer aided diagnosis of Alzheimer’s disease: a snapshot of last 5 years, gaps, and future directions;Artificial Intelligence Review;2024-02-03

3. Dual-3DM³AD: Mixed Transformer Based Semantic Segmentation and Triplet Pre-Processing for Early Multi-Class Alzheimer’s Diagnosis;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images;International Journal of Imaging Systems and Technology;2023-05

5. Automated Hybrid Model for Detection and Classification of Brain Tumor;2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU);2023-03

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