A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers

by   Chen Li, et al.

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.



There are no comments yet.


page 5

page 6

page 7

page 8

page 11

page 12

page 13

page 15


Artificial Neural Networks for Detection of Malaria in RBCs

Malaria is one of the most common diseases caused by mosquitoes and is a...

Review of Face Detection Systems Based Artificial Neural Networks Algorithms

Face detection is one of the most relevant applications of image process...

GPEX, A Framework For Interpreting Artificial Neural Networks

Machine learning researchers have long noted a trade-off between interpr...

Can Artificial Neural Networks be Applied in Seismic Predicition? Preliminary Analysis Applying Radial Topology. Case: Mexico

Tectonic earthquakes of high magnitude can cause considerable losses in ...

How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins

This paper surveys an approach to the XAI problem, using post-hoc explan...

Efficient Hardware Realizations of Feedforward Artificial Neural Networks

This article presents design techniques proposed for efficient hardware ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.