Images Based on Fusing Deep Convolution Features
have insuf?cient feature extraction and representation capabilities, and they suffer from insuf?cient pathological classi?cation. Therefore, this work ?rst designs an image processing algorithm for data augmentation. Second, the deep convolutional features are extracted by ?ne-tuning pre-trained deep network models, including ResNet50 v2, DenseNet121, Inception v3, VGGNet19, and ...
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