  In recent years, with the advancement of computer-aided diagnosis (CAD)
technology and whole slide image (WSI), histopathological WSI has gradually
played a crucial aspect in the diagnosis and analysis of diseases. To increase
the objectivity and accuracy of pathologists' work, artificial neural network
(ANN) methods have been generally needed in the segmentation, classification,
and detection of histopathological WSI. In this paper, WSI analysis methods
based on ANN are reviewed. Firstly, the development status of WSI and ANN
methods is introduced. Secondly, we summarize the common ANN methods. Next, we
discuss publicly available WSI datasets and evaluation metrics. These ANN
architectures for WSI processing are divided into classical neural networks and
deep neural networks (DNNs) and then analyzed. Finally, the application
prospect of the analytical method in this field is discussed. The important
potential method is Visual Transformers.
