人工智能在胰腺囊性病变影像领域应用进展
Applications of Artificial Intelligence in Pancreatic Cystic Lesion Imaging
邓文祎 1谢飞扬 1薛华丹1
作者信息
- 1. 中国医学科学院 北京协和医学院协和转化医学中心 北京协和医院放射科, 北京 100730
- 折叠
摘要
胰腺囊性病变(PCL)的检出率逐年升高,人工智能(AI)技术在PCL影像检查工作流程中的应用研究取得了突破性进展,包括图像后处理、病灶检出、分割、鉴别和诊断.基于AI的图像后处理技术能够优化医学影像图像质量,AI辅助的病灶检出、分割、鉴别和诊断模型可显著提升医生工作效率.本文对目前AI在PCL影像领域的应用进展进行综述,并对今后的研究方向做出展望.
Abstract
As the detection rate of pancreatic cystic lesions(PCL)increases,artificial intelligence(AI)has made breakthroughs in the imaging workflow of PCL,including image post-processing,lesion detection,segmentation,diagnosis and differential diagnosis.AI-based image post-processing can optimize the quality of medical images and AI-assisted models for lesion detection,segmentation,diagnosis and differential diagnosis significantly enhance the work efficiency of radiologists.This article reviews the application progress of AI in PCL imaging and provides prospects for future research directions.
关键词
胰腺囊性病变/人工智能/图像后处理/检出/分割/诊断/鉴别诊断Key words
pancreatic cystic lesions/artificial intelligence/image post-processing/detection/segmentation/diagnosis/dif-ferential diagnosis引用本文复制引用
基金项目
国家自然科学基金面上项目(82071896)
国家重点研发计划(2020YFC2002702)
中央高水平医院临床科研业务费项目(2022-PUMCH-B-069)
出版年
2024
国家科技期刊平台
NSTL
万方数据