Research progress on H-E stained whole slide image analysis by artificial intelligence in lung cancer
10.19401/j.cnki.1007-3639.2024.03.009
- VernacularTitle:基于人工智能的H-E染色全切片病理学图像分析在肺癌研究中的进展
- Author:
Mengqi JIANG
1
;
Yuchen HAN
;
Xiaolong FU
Author Information
1. 上海市胸科医院/上海交通大学医学院附属胸科医院放疗科,上海 200030
- Keywords:
Whole slide imaging;
Lung cancer;
Artificial intelligence;
Convolutional neural network
- From:
China Oncology
2024;34(3):306-315
- CountryChina
- Language:Chinese
-
Abstract:
Pathology is the gold standard for diagnosis of neoplastic diseases.Whole slide imaging turns traditional slides into digital images,and artificial intelligence has shown great potential in pathological image analysis,especially deep learning models.The application of artificial intelligence in whole slide imaging of lung cancer involves many aspects such as histopathological classification,tumor microenvironment analysis,efficacy and survival prediction,etc.,which is expected to assist clinical decision-making of accurate treatment.Limitations in this field include the lack of precisely annotated data and slide quality varying among institutions.Here we summarized recent research in lung cancer pathology image analysis leveraging artificial intelligence and proposed several future directions.
