We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Traditional diagnostic methods for Alzheimer’s disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks ...

Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary classification, ...