Correction: EFFNet: A skin cancer classification model based on feature fusion and random forests.

[This corrects the article DOI: 10.1371/journal.pone.

EFFNet: A skin cancer classification model based on feature fusion and random forests.

Computer-aided diagnosis techniques based on deep learning in skin cancer classification have disadvantages such as unbalanced datasets, redundant information in the extracted features and ignored interactions of partial features among different convolutional layers. In order to overcome these disadvantages, we propose a skin cancer classification model named EFFNet, which is based on feature fusion and random forests. Firstly, the model preprocesses the HAM10000 dataset to make each category of training set images balanced by image enhancement technology.