基于CT影像的人工智能在肾上腺良性肿瘤中的应用进展  

Research progress of CT image-based artificial intelligence in benign tumors of the adrenal gland

作　　者：朴则宇 刘婷婷 孟名柱[3] 贾中芝(审校)[2] PIAO Zeyu;LIU Tingting;MENG Mingzhu;JIA Zhongzhi(Graduate College,Dalian Medical University,Dalian 116044,China;Department of Interventional and Vascular Surgery,The Affiliated Changzhou Second People’s Hospital;Department of Radiology,The Affiliated Changzhou Second People’s Hospital)

机构地区：[1]大连医科大学研究生院,大连116044 [2]常州市第二人民医院介入血管科 [3]常州市第二人民医院放射科

出　　处：《国际医学放射学杂志》2024年第1期79-82,共4页International Journal of Medical Radiology

基　　金：常州市科技局应用基础研究计划(CJ20220260)。

摘　　要：CT是诊断肾上腺良性肿瘤的重要手段,但仍有少部分肾上腺良性肿瘤难以确诊。人工智能(AI)可以运用计算机算法模仿人脑且具有学习和解决问题等任务的能力,包括机器学习和深度学习,已广泛应用于肾上腺良性肿瘤的诊断、鉴别诊断及治疗。就目前基于CT影像的人工智能在肾上腺良性肿瘤中的应用进展进行综述。CT is an important method of diagnosing benign tumors of adrenal gland(BTAGs),but some BTAGs are remain challenging to diagnose.Artificial intelligence(AI)can utilize computer algorithms to mimic the human brain,allowing it to learn and solve problems.Including machine learning and deep learning,AI has been widely used in the diagnosis,differential diagnosis,and treatment of BTAGs in recent years.This article reviews the progress in the applications of AI based on CT images in BTAGs.

关 键 词：肾上腺 良性肿瘤 人工智能 体层摄影术 X线计算机 影像组学 深度学习 

分 类 号：R814.42[医药卫生—影像医学与核医学] R816.7[医药卫生—放射医学]