摘要
随着大数据时代的到来,人工智能得以在医疗领域崭露头角并实现了飞速发展,尤其在肿瘤诊断方面存在巨大潜能。人工智能利用自动化图像分割及提取等关键技术,在实现短时间内对大量肿瘤信息汇总分析的同时,还可以反映现实环境中成像数据的分布,使肿瘤诊断从主观感知转向客观科学,从而高效精确地协助医师的诊断,为诊疗计划的制订和预后的判断提供坚实的基础。笔者拟对人工智能在肿瘤诊断中的关键技术及当前的应用进行综述。
With the advent of the era of big data,artificial intelligence(AI)has emerged and rapidly developed in the field of medicine.The application of AI has huge potential in achieving prompt and accurate analysis of tumor information aggregation.Moreover,AI can reflect the distribution of imaging data in the real environment by using key technologies,such as automatic image segmentation and extraction.Accordingly,tumor diagnosis can change from subjective perception into objective science.Therefore,AI can assist doctors in efficiently and accurately diagnosing the presence of tumors and providing a solid foundation for the formulation of an appropriate diagnosis plan and informed judgment of the prognosis.This paper reviews the key AI technologies and their current applications in tumor diagnosis.
作者
张佳佳
樊鑫
秦珊珊
余飞
Zhang Jiajia;Fan Xin;Qin Shanshan;Yu Fei(Department of Nuclear Medicine,Tenth People's Hospital,Tongji University,Shanghai 200072,China)
出处
《国际放射医学核医学杂志》
2020年第1期11-15,共5页
International Journal of Radiation Medicine and Nuclear Medicine
基金
国家重点研发计划子课题(2016YFC0104303)
上海市人才发展基金(2017103)。
关键词
人工智能
机器学习
深度学习
卷积神经网络
肿瘤诊断
Artificial intelligence
Machine learning
Deep learning
Convolutional neural network
Tumor diagnosis
