Since the effectiveness of automated melanocytic lesion image classification is limited by the difficulty in obtaining large numbers of high-quality training data, our results support the idea that training a classifier utilising synthetic images-where large numbers of quality images can be easily generated-is inherently advantageous. Given its advantages over a CNN, and trained on a very large number of synthetic images of melanocytic lesions, a CN classifier thus has the potential, only limited by computer resources, to yield previously unseen levels of generalisation performance.
Chai et al. (Tue,) studied this question.