0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Brain Age Estimation with Twin Vision Transformer using Hippocampus Information Applicable to Alzheimer Dementia Diagnosis
Authors :
Zahra Qodrati
1
Seyedeh Masoumeh Taji
2
Amirhossein Ghaemi
3
Habibollah Danyali
4
Kamran Kazemi
5
Alireza Ghaemi
6
1- Department of Electrical Engineering Shiraz University of Technology
2- Department of Electrical Engineering Shiraz University of Technology
3- Department of Electrical Engineering Shiraz University of Technology
4- Department of Electrical Engineering Shiraz University of Technology
5- Department of Electrical Engineering Shiraz University of Technology
6- Department of Electrical Engineering Shiraz University of Technology
Keywords :
Brain age estimation،Deep Learning،Alzheimer’s Disease،Visual Transformer،Brain MRI،multi-layer perceptron (MLP)
Abstract :
Brain age estimation using deep learning methods has been associated with detecting and diagnosing neurodegenerative diseases. Alzheimer's disease causes structural and functional changes to the brain throughout a person's life, prompting researchers to use medical imaging as a valuable tool for age estimation. Our study proposes a brain age estimation model which utilizes a twin structural network based on the Visual Information Transformer (ViT) to solve regression problems. Our input data is T1-weighted magnitude resonance imaging (MRI) of 220 participants taken from the OASIS1 dataset, aged between 45 to 96 years old. The ViT’s inputs are patches from a coronal view that include the hippocampus region (i.e., left and right). Briefly, we construct two path-way to investigate brain age estimation for each path and then ensemble the predictions to improve the results. The best mean absolute error on the evaluation data set yielded 3.57 years. In comparison with other works, we acquire a promising MAE. The investigation can help to design an interpretable model for clinical diagnosis.
Papers List
List of archived papers
An intelligent linguistic error detection approach to automated diagnosis of Dyslexia disorder in Persian speaking children
Fatemeh Asghari - Mahsa Khorasani - Mohsen Kahani - Seyed Amir Amin Yazdi - Mahdi Arkhodi Ghalenoei
Towards Efficient Video Object Detection on Embedded Devices
Mohammad Hajizadeh - Adel Rahmani - Mohammad Sabokrou
ExaAEC: A New Multi-label Emotion Classification Corpus in Arabic Tweets
Saeed Sarbazi-Azad - Ahmad Akbari - Mohsen Khazeni
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique
Aref Farhadipour - Pouya Taghipour
SASIAF, An Scalable Accelerator For Seismic Imaging on Amazon AWS FPGAs
Mostafa Koraei - S.Omid Fatemi
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
Arezou Safdari - Pedram Salehpour
Automatic Detection and Risk Assessment of Session Management Vulnerabilities in Web Applications
Nasrin Garmabi - Mohammad Ali Hadavi
Experimental evaluation and comparison of anti-pattern detection tools by the gold standard
Somayeh Kalhor - Mohammad reza Keyvanpour - Afshin Salajegheh
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Alireza Aghelan - Modjtaba Rouhani
Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition
Aref Farhadipour - Homa Asadi - Volker Dellwo
more
Samin Hamayesh - Version 41.7.6