[81] proposed a deep convolutional denoising autoencoder (CDAE) for constructing compact ISH image representations, while [82] introduced Her2Net, a deep learning framework for HER2-stained breast cancer image analysis, which includes cell membrane and nucleus detection, segmentation, and classification. Here, ERBB2 is linked to breast carcinoma.