Predicting Alzheimer's Disease Assessment Scale from T1‐weighted MRIs by Fine‐tuning a Pretrained Deep Learning Model

Using only 50% of the available data for training, we introduced a prediction model which generalized well to the test set, demonstrating the robustness of our model. Our approach required less data while achieving superior results compared to previous methods (such as Bhagwat 2019), paving the way for training more generalizable networks with limited data-a crucial factor for medical imaging datasets.