首页|人工智能在膀胱癌诊断中的研究进展

人工智能在膀胱癌诊断中的研究进展

扫码查看
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.
Research progress of artificial intelligence in the diagnosis of bladder cancer
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.

bladder cancerdiagnosisartificial intelligencemachine learningdeep learning

叶璟威、刘卓炜

展开 >

中山大学肿瘤防治中心泌尿外科(广州,510060)

膀胱癌 诊断 人工智能 机器学习 深度学习

2024

临床泌尿外科杂志
华中科技大学同济医学院附属协和医院 同济医院

临床泌尿外科杂志

CSTPCD
影响因子:0.734
ISSN:1001-1420
年,卷(期):2024.39(12)