Application of artificial neural network algorithm in pathological diagnosis and prognosis prediction of digestive tract malignant tumors.
Journal:
Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences
PMID:
37283110
Abstract
The application of artificial neural network algorithm in pathological diagnosis of gastrointestinal malignant tumors has become a research hotspot. In the previous studies, the algorithm research mainly focused on the model development based on convolutional neural networks, while only a few studies used the combination of convolutional neural networks and recurrent neural networks. The research contents included classical histopathological diagnosis and molecular typing of malignant tumors, and the prediction of patient prognosis by utilizing artificial neural networks. This article reviews the research progress on artificial neural network algorithm in the pathological diagnosis and prognosis prediction of digestive tract malignant tumors.