Classifying Real-world Macroscopic Images in the Primary-Secondary Care Interface using Transfer Learning: Implications for Development of Artificial Intelligence Solutions using Non- dermoscopic Images.

Pre-training on public macroscopic images, followed by tuning to local data, gave promising results. Further improvements are needed to afford deployment in real clinical pathways. Larger datasets local to the target domain might be expected to yield further improved performance.