Fig. 4From: Reverse active learning based atrous DenseNet for pathological image classificationNetwork architecture of the proposed atrous dense connection (ADC). Convolutions with different dilation rates are adopted for multiscale feature extraction. The color connections refer to the feature maps produced by the corresponding convolution layers. The feature maps from different convolution layers are concatenated to form a multiscale featureBack to article page