Application of image-based machine learning algorithms in urological cancers
10.3760/cma.j.cn112330-20240204-00068
- VernacularTitle:基于图像的机器学习算法在泌尿系癌症诊疗中的应用
- Author:
Jiahe LIU
1
;
Yifeng QIU
;
Xiaocong CHEN
;
Yujie YANG
;
Zhuoxin LI
;
Qiushuang YU
;
Qi HOU
Author Information
1. 深圳大学医学部，深圳 518000
- Publication Type:Journal Article
- Keywords:
Machine learning;
Artificial intelligence;
Urological cancers
- From:
Chinese Journal of Urology
2025;46(2):153-156
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.
