Training a Convolutional Neural Network (CNN) from scratch is time-consuming and expensive. In this study, we propose implementing the DenseNet architecture for classification of AD in three classes. Our approach leverages transfer learning architectures as the base model and showcases superior...

Half of the world’s population remains without access to essential health services, with many individuals driven into poverty each year by out-of-pocket health expenses. UNCTAD estimates that to meet health-related Sustainable Development Goal objectives, over 140 billion dollars in private...

To an extent as never before in the history of medicine, computers are supporting human input, decision making and provision of data. In today's healthcare sector and medical profession, AI, algorithms, robotics and big data are used to derive inferences for monitoring large-scale medical...