The use of Convolutional Neural Networks (CNN) in natural image classification systems
has produced very impressive results. Combined with the inherent nature of medical images
that make them ideal for deep-learning, further application of such systems to medical image
classification holds much promise. However, the usefulness and potential impact of such a
system can be completely negated if it does not reach a target accuracy. In this paper, we
present a study on determining the optimum size of the training data set necessary to …