Application of artificial neural network algorithm in pathological diagnosis and prognosis prediction of digestive tract malignant tumors.
10.3724/zdxbyxb-2022-0569
- Author:
Ya XIAO
1
;
Shuyang WANG
2
;
Ren LING
3
;
Yufei SONG
4
Author Information
1. Health Science Center, Ningbo University, Ningbo 315211, Zhejiang Province, China. xiaoyatosee@163.com.
2. Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200032, China.
3. Shanghai Laizi Software Technology Co. Ltd., Shanghai 201499, China.
4. Department of Gastroenterology, the Affiliated Lihuili Hospital, Ningbo University, Ningbo 315046, Zhejiang Province, China. 517582445@qq.com.
- Publication Type:Journal Article
- Keywords:
Algorithm;
Artificial neural network;
Digestive tract malignant tumor;
Pathological diagnosis;
Prognosis prediction;
Review
- MeSH:
Humans;
Neural Networks, Computer;
Algorithms;
Prognosis;
Gastrointestinal Neoplasms/diagnosis*
- From:
Journal of Zhejiang University. Medical sciences
2023;52(2):243-248
- CountryChina
- Language:English
-
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.
