Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
NeuroImage, Journal Year: 2024, Volume and Issue: 299, P. 120825 - 120825
Published: Aug. 29, 2024
As an important biomarker of neural aging, the brain age reflects integrity and health human brain. Accurate prediction could help to understand underlying mechanism aging. In this study, a cross-stratified ensemble learning algorithm with staking strategy was proposed obtain derived predicted difference (PAD) using T1-weighted magnetic resonance imaging (MRI) data. The approach characterized as by implementing two modules: one three base learners 3D-DenseNet, 3D-ResNeXt, 3D-Inception-v4; another 14 secondary liner regressions. To evaluate performance, our method compared single learners, regular algorithms, state-of-the-art (SOTA) methods. results demonstrated that model outperformed others models, metrics mean absolute error (MAE), root mean-squared (RMSE), coefficient determination (R
Language: Английский
Citations
2Published: April 2, 2024
There is a lot of hope for understanding the neurological patterns associated with ageing in relatively new field deep age estimation using structural magnetic resonance imaging (MRI). The goal this study to extract and evaluate complex features from MRI data advanced learning techniques, namely convolutional neural networks (CNNs). In study, we train on large datasets images hopes building reliable models that can accurately determine ages individuals. This method allows us detect signs subtle could otherwise go undetected by more traditional methods. addition, potential augmentation transfer techniques enhance model's performance generalise it different populations. Our ultimate doing research further our brain effects has cognitive decline age-related diseases. Deep via may, end, change face clinical diagnosis, individualised treatment, research. because provides methods assessing health trajectories are both safe non-invasive.
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0