摘要
乳腺癌是世界范围内女性最常见的恶性肿瘤,寻找影像学标志物用于该疾病的精准诊断、疗效评估和预后预测,可辅助临床制订个体化治疗方案。人工智能是当下医疗机构、科研领域、产业界和政府共同关注的焦点。它在医学影像中的应用包括两大技术:影像组学和深度学习。目前基于乳腺MRI、超声及X线的人工智能在实际临床问题和算法方面的研究越来越广泛和深入,本文就基于人工智能技术在乳腺影像中研究现状进行综述。
Breast cancer is the most common female malignant tumor worldwide.Finding imaging markers for accurate diagnosis,efficacy evaluation and prognosis prediction of this disease can assist clinical development of individualized treatment plans.Artificial intelligence is currently the focus of medical institutions,scientific research area,industry and government.Its application in medical imaging includes two technologies:radiomics and deep learning.At present,the artificial intelligence research on practical clinical problems and algorithms based on breast MRI,ultrasound and X-ray is more and more extensive and in-depth.This paper reviews the research status of artificial intelligence based on breast imaging.
作者
马文娟
刘梁生
张宇
尹蕊
郭一君
路红
MA Wenjuan;LIU Liangsheng;ZHANG Yu;YIN Rui;GUO Yijun;LU Hong(Department of Breast Imaging,Tianjin Medical University Cancer Institute and Hospital,National Clinical Research Center for Cancer,Key Laboratory of Cancer Prevention and Therapy,Tianjin,Tianjin’s Clinical Research Center for Cancer,Key Laboratory of Breast Cancer Prevention and Therapy,Tianjin Medical University,Ministry of Education,Tianjin 300060,China;School of Biomedical Engineering&Technology,Tianjin Medical University,Tianjin 300060,China)
出处
《中国医学计算机成像杂志》
CSCD
北大核心
2022年第4期439-442,共4页
Chinese Computed Medical Imaging
基金
国家自然科学基金(81801781,82072004)。
关键词
影像组学
深度学习
乳腺癌
Radiomics
Deep learning
Breast cancer
