Fig. 4From: A multi-label classification model for full slice brain computerised tomography imageFeature learning model, VGG16, that can automatically learn features of a slice of brain images through convolution and pooling layers. Finally, through a global average pooling layer, we can obtain a vector that contains 512 dimensionsBack to article page