摘要
目前,人工智能在肾癌诊断研究中的应用正处于起步阶段,影像学诊断的报道多于病理学,主要是关于人工智能通过CT检查鉴别肾肿瘤的良恶性和预测肾细胞癌的病理类型,但尚未涉足MRI检查,而病理学诊断主要是通过人工智能对细胞核进行分级。未来,人工智能在肾细胞癌诊断方面的研究有很大的发展潜力,有待进一步深入研究。
At present,the application of artificial intelligence in the diagnosis of renal cell carcinoma(RCC)is still at an early stage.There were more reports of imaging diagnosis than pathology.Studies of imaging diagnosis mainly focused on using artificial intelligence to identify benign and malignant renal tumors and predict pathological types of RCC by computed tomography.However,there were no reports of artificial intelligence in diagnosing RCC by magnetic resonance imaging.Studies of pathological diagnosis were mainly about the classification of the nucleus.In the future,artificial intelligence has great development potential in the diagnosis of RCC,and further research is needed.
作者
江卫星
郑闪
寿建忠
马建辉
Jiang Weixing;Zheng Shan;Shou Jianzhong;Ma Jianhui(Department of Urology,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China;Department of pathology,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China)
出处
《中华泌尿外科杂志》
CAS
CSCD
北大核心
2020年第3期233-236,共4页
Chinese Journal of Urology
基金
中国医学科学院医学与健康科技创新工程(2017-I2M-2-003)。
关键词
癌
肾细胞
人工智能
机器学习
深度学习
Carcinoma
renal cell
Artificial intelligence
Machine learning
Deep learning