Research progress of artificial intelligence in pathological subtypes classification and gene expression analysis of lung adenocarcinoma
- VernacularTitle:人工智能在肺腺癌病理学亚型分型及基因表达分析中应用的研究进展
- Author:
Liantian ZHOU
1
;
Kehui ZHAO
2
;
Zhiqiang ZHANG
2
Author Information
1. 1.College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, 250300, P. R. China 2. Heze Traditional Chinese Medicine Hospital, Heze, 274000, Shandong, P. R. China
2. College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, 250300, P. R. China
- Publication Type:Journal Article
- Keywords:
Lung adenocarcinoma;
pathological subtypes;
gene expression;
artificial intelligence;
machine learning;
deep learning;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2024;31(01):145-152
- CountryChina
- Language:Chinese
-
Abstract:
Lung adenocarcinoma is a prevalent histological subtype of non-small cell lung cancer with different morphologic and molecular features that are critical for prognosis and treatment planning. In recent years, with the development of artificial intelligence technology, its application in the study of pathological subtypes and gene expression of lung adenocarcinoma has gained widespread attention. This paper reviews the research progress of machine learning and deep learning in pathological subtypes classification and gene expression analysis of lung adenocarcinoma, and some problems and challenges at the present stage are summarized and the future directions of artificial intelligence in lung adenocarcinoma research are foreseen.
