Your browser doesn't support javascript.
loading
Research progress of artificial intelligence in pathological subtypes classification and gene expression analysis of lung adenocarcinoma / 中国胸心血管外科临床杂志
Article in Zh | WPRIM | ID: wpr-1006526
Responsible library: WPRO
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.
Key words
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Clinical Thoracic and Cardiovascular Surgery Year: 2024 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Clinical Thoracic and Cardiovascular Surgery Year: 2024 Type: Article