Open AccessArtificial neural network in diagnostic cytology
Author(s) -
Pranab Dey
Publication year - 2022
Publication title -
cyto journal/cytojournal
Language(s) - English
Resource type - Journals
eISSN - 0974-5963
pISSN - 1742-6413
DOI - 10.25259/cytojournal_33_2021
Subject(s) - artificial neural network , computer science , cytology , convolutional neural network , field (mathematics) , artificial intelligence , process (computing) , software , expert system , machine learning , pathology , medicine , mathematics , pure mathematics , programming language , operating system
The artificial neural network (ANN) is a computer software design or model that simulates the biological neural network of the human brain. Instead of biological neurons, ANN is composed of many layers of nodes that carry the signal and process it to make the final decision. ANN is a modern technology that is widely used in different fields of science. The ANN is reshaping the medical system and the various areas of pathology. In this paper, the basic concept and applications of ANN in cytology have been discussed. In this paper, the various articles published on ANN in the field of cytology have been systemically reviewed. The ANN is relatively less used in cytology. After introducing convolutional neural network and whole slide scanners in the commercial market, it is now essential to have thorough knowledge in this field to start diagnostic application of ANN.