人工智能在乳腺超声检查中的应用进展

The progress in applications of Artificial Intelligence in breast ultrasound:a systematic review

乳腺癌是女性最常见的恶性肿瘤,也是女性死亡的主要原因。目前,二维超声是区分乳腺病灶良、恶性最常用的影像学方法,其诊断的准确性受影像医师经验及诊断水平的影响。为了弥补影像医师经验不足所带来的误诊、漏诊并降低时间成本,人工智能技术在乳腺超声领域得到了广泛的研究。本文旨在介绍二维超声、传统的计算机辅助诊断系统以及深度学习、卷积神经网络技术在乳腺超声检查方面的应用现状。

Breast cancer is the most common malignant tumor in female,which is the leading cause of cancer deaths among women worldwide.In China,breast ultrasound is considered to be one of the most popular methods in the differential diagnosis of benign and malignant lesions.However,the diagnostic accuracy of breast ultrasound is affected by the experience and diagnostic levels of the physicians.In order to cover the shortage of experience and to reduce time cost,so to improve the diagnostic accuracy,the Artificial Intelligence has developed rapidly,which has been widely studied and applied in breast ultrasound.In this review,we introduce the application of traditional ultrasound,traditional CADs,Deep Learning,and convolutional neural network technology in breast ultrasound.