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In the training set, on-the-fly intensity and geometry augmentation was applied to avoid overfitting. The batch was set to 32 for 200 epochs and the initial learning rate was 1e-3 with a decay factor of 0.9 every 10 epochs. Adam optimizer was applied to update the model parameters (...
Data Augmentation In order to increase the number of base images, the Data Augmentation technique was used. The transformations used for this analysis were shear, rotation, horizontal translation (x-axis) and vertical translation (y-axis), with their corresponding values in degrees considered for tr...
Then, they apply another type of Gaussian filter as a color augmentation method to make the models used more robust. A problem of binary classification of breast cancer images, obtaining an accuracy higher than 98%, is presented in [41]. The procedure the authors follow for its resolution ...
Data augmentation was carrying out with the Caffe method DL detection: Fast R-CNN, multiscale-DBN, and random forest; DL segmentation: CRF; DL classification: regression method. Segmentation with GAN learning. An SDAE (OverFeat) model was used to classify with the ensemble method. Application ...