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. 2022 Dec 11;13(12):2197. doi: 10.3390/mi13122197

Figure 2.

Figure 2

The network structure of the neural network structure commonly used in breast pathological image analysis. These network structure models have been widely applied and performed well in deep learning pathological image classification, segmentation, and recognition tasks. The input size of each layer is shown in the figure. (A) Convolutional neural network (CNN). (B) LeNet. (C) AlexNet. (D) Fully convolutional networks for semantic segmentation (FCN). (E) UNet. (F) Holistically Nested Network (HED).