摘要
在全球范围内,肺癌的发病率和死亡率居恶性肿瘤的首位,在中国,随着人口老龄化的进程,肺癌已成为严重危害人民生活健康的重要疾病之一,中晚期肺癌5年生存率仅有15%左右,早发现、早诊断、早治疗是提高肺癌生存率和降低死亡率的关键。近年来,人工智能技术快速发展,已进入到临床诊疗环节,其中肺癌影像诊断是人工智能技术发展最快、相对成熟的领域,人工智能在肺癌诊疗中发挥着重要作用。人工智能辅助影像学数据深度挖掘的应用涵盖了肺癌诊疗环节的方方面面,在图像重建、肺结节检出、肺结节分类、结节测量、疗效评估及组织病理学诊断等领域都有了长足的进步。本文从人工智能在肺癌影像学诊断中的分割、分类、疗效评估及图像重建等方面的进展进行重点阐述,以期更好地认识和推广人工智能技术在肺部影像学诊断中的应用。
Globally,the incidence and mortality of lung cancer ranks first among malignant tumors.In China,with the aging of population,lung cancer has become one of the important diseases that seriously harm people’s life and health.For years,the 5-year survival rate of advanced lung cancer was only about 15%.Early detection,early diagnosis and early treatment are the key to improve the survival rate and reduce the mortality of lung cancer.In recent years,artificial intelligence techniques have developed rapidly and have been applied in clinical diagnosis and treatment.Among them,the field of lung cancer imaging diagnosis is the fastest developing and relatively mature field of artificial intelligence technology,which plays an important role in the diagnosis and treatment of lung cancer.The application of deep mining of image data by artificial intelligence aided covers all aspects of lung cancer diagnosis and treatment,and has made great progress in image reconstruction,pulmonary nodule detection,pulmonary nodule classification,nodule measurement,efficacy evaluation,histopathological diagnosis and other fields.This paper focused on the progress of artificial intelligence in lung cancer image segmentation,classification,efficacy evaluation and image reconstruction,so as to better understand and promote the application of artificial intelligence technology in lung cancer.
作者
孙瑶
王祥
萧毅
SUN Yao;WANG Xiang;XIAO Yi(Department of Radiology,Changzheng Hospital,Naval Medical University,Shanghai 200003,China)
出处
《肿瘤影像学》
2021年第6期525-531,共7页
Oncoradiology
基金
国家自然科学基金(82001812)。
关键词
人工智能
深度学习
肺癌
CT
Artificial intelligence
Deep learning
Lung cancer
CT
