人工智能在膀胱癌诊断中的研究进展
Research progress of artificial intelligence in the diagnosis of bladder cancer
叶璟威 1刘卓炜1
作者信息
- 1. 中山大学肿瘤防治中心泌尿外科(广州,510060)
- 折叠
摘要
膀胱癌准确的诊断与分期是提高患者生存率的关键所在,目前主要的检查手段包括内镜检查、尿液检查、影像检查以及组织病理检查.近年来,人工智能在医学领域迅速发展,在膀胱癌的诊断方面亦展现出良好的应用前景.本文对人工智能在膀胱癌诊断中的研究进展、局限及展望作一综述.
Abstract
Accurate diagnosis and staging of bladder cancer are the keys to improve the survival rate of pa-tients.At present,the main examination methods include endoscopy,urine examination,imaging examination and histopathological examination.In recent years,artificial intelligence has developed rapidly in the medical field and also shows good application prospects in the diagnosis of bladder cancer.This article reviews the research pro-gress,limitations and prospects of artificial intelligence in the diagnosis of bladder cancer.
关键词
膀胱癌/诊断/人工智能/机器学习/深度学习Key words
bladder cancer/diagnosis/artificial intelligence/machine learning/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据