Multi-label: The researchers trained the algorithm for multi-label skin classification, i.e. it can differentiate between five different categories of skin lesions.

Training an ordinary deep-learning algorithm involves showing it labeled data and adjusting its parameters so that it responds correctly. In the case of an image classification algorithm ...

They found that the algorithm with the best correlation does not always have the best selection rate. Instead of building a regression curve that fits all the training data, classification ...