深度学习用于乳腺癌超声成像进展  

Progresses of deep learning in breast cancer ultrasound imaging

作　　者：韩杨 富丹 包海花 孔令馨 HAN Yang;FU Dan;BAO Haihua;KONG Lingxin(School of Medical Imaging,Mudanjiang Medical University,Mudanjiang 157011,China;School of Life Science,Mudanjiang Medical University,Mudanjiang 157011,China;Department of Ultrasound,Hongqi Hospital Affiliated to Mudanjiang Medical University,Mudanjiang 157011,China)

机构地区：[1]牡丹江医科大学医学影像学院,黑龙江牡丹江157011 [2]牡丹江医科大学生命科学学院,黑龙江牡丹江157011 [3]牡丹江医科大学附属红旗医院超声科,黑龙江牡丹江157011

出　　处：《中国介入影像与治疗学》2025年第1期71-74,共4页Chinese Journal of Interventional Imaging and Therapy

基　　金：黑龙江省省属高等学校基本科研业务费科研项目(2023-KYYWF-0940)。

摘　　要：乳腺癌是女性发病率最高的恶性肿瘤,早期超声筛查、及时治疗可降低治疗成本,提高远期生存率。近年来,深度学习(DL)技术在乳腺癌超声成像方面开展越来越广泛,并取得了显著成效。本文就DL用于乳腺癌超声成像应用进展进行综述。Breast cancer is malignant tumor with the highest incidence in women.Early ultrasound diagnosis and timely treatment can reduce therapeutic costs and improve long-term survival rate.In recent years,deep learning(DL)technology had been widely used in ultrasound imaging of breast cancer and achieved remarkable results.The progresses of DL in ultrasound imaging of breast cancer were reviewed in this article.

关 键 词：乳腺肿瘤 超声检查 深度学习 

分 类 号：R737.9[医药卫生—肿瘤] R445.1[医药卫生—临床医学]