Before revision:  To assist in diagnosing measles, we created a dataset of more than 1300 images of a variety of skin conditions and utilized deep convolutional neural network to distinguish measles rash from other skin conditions  .
After revision:  To assist in diagnosing measles, we created a dataset of more than 1300 images of a variety of skin conditions , with which we employed residual deep convolutional neural network to distinguish measles rash from other skin conditions .