Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation. (arXiv:2304.06968v1 [cs.CV])

The limited ability of Convolutional Neural Networks to generalize to images
from previously unseen domains is a major limitation, in particular, for
safety-critical clinical tasks such as dermoscopic skin cancer classification.
In order to translate CNN-based applications into the clinic, it is essential
that they are able to adapt to domain shifts. Such new conditions can arise
through the use of different image acquisition systems or varying lighting
conditions. In dermoscopy, shifts can also occur as a change in patient …

acquisition age applications arxiv cancer change classification cnn convolutional neural networks datasets evaluation image images lighting major networks neural networks patient safety safety-critical skin cancer systems translate translation