人工智能技术在乳腺癌病理诊断中的应用进展  

Application progress of artificial intelligence technology in pathological diagnosis of breast cancer

作　　者：王卓 吴祺 王花丽[1] 张丽娜[1] 宁宁 张丽芝[1] WANG Zhuo;WU Qi;WANG Huali;ZHANG Lina;NING Ning;ZHANG Lizhi(The First Affiliated Hospital of Dalian Medical University,Liaoning Dalian 116011,China)

机构地区：[1]大连医科大学附属第一医院,辽宁大连116011

出　　处：《现代肿瘤医学》2023年第1期174-177,共4页Journal of Modern Oncology

基　　金：辽宁省自然科学基金指导计划(编号:2019-ZD-0907);2021年度大连医科大学教学改革研究一般项目(编号:DYLX21036)。

摘　　要：随着精准医疗时代的到来,人工智能在疾病诊断、影像医学、护理医学等领域取得重大突破和进展。乳腺癌的组织病理学诊断对准确性的需求正在增加,使其成为人工智能需要突破的领域。基于人工智能的数字病理学能够快速检查和量化组织切片,从而更高效地完成肿瘤的检测、分类和预测。本文就人工智能在乳腺癌病理诊断中的应用进展及影像学科交叉展望进行综述。With the advent of the era of precision medicine,artificial intelligence has made major breakthroughs and progress in the fields of disease diagnosis,medical imaging,and nursing medicine.The need for accuracy in histopathological diagnosis of breast cancer is increasing,making it an area where artificial intelligence needs to break through.Digital pathology based on artificial intelligence can quickly inspect and quantify tissue slides,so as to more efficiently complete tumor detection,classification and prediction.This paper reviews the application progress of artificial intelligence in the pathological diagnosis of breast cancer and the prospect of interdisciplinary imaging.

关 键 词：乳腺癌 病理诊断 人工智能 深度学习 磁共振成像 

分 类 号：R737.9[医药卫生—肿瘤]