深度学习在医学影像学中的研究现状及发展前景

Research status and development prospect of deep learning in medical imaging

精准医疗,影像先行;精准影像,技术先行。近年来,随着人工智能的迅速发展,深度学习作为其重要分支,已广泛应用于信号处理、计算机视觉和自然语言处理等诸多领域,其中基于深度学习的医学影像数据分割、疾病检测及预后预测等已成为众多学者研究的热点。本文将简要概述深度学习在医学影像学主要技术领域的应用现状,并分析其在医学影像学临床应用中所面临的挑战与发展前景,旨在为深度学习算法的临床转化提供参考。

Precision medicine,imaging first;precision imaging,technology first.In recent years,with the rapid development of artificial intelligence,deep learning,as an important branch,has been widely used in many fields such as signal processing,computer vision and natural language processing,etc.,among which medical image data segmentation,disease detection and prognosis prediction based on deep learning have become the hot spots of many scholars'research.In this paper,we will briefly outline the current status of deep learning application in the main technical fields of medical imaging,and analyze the challenges and development prospects of its clinical application in medical imaging,aiming to provide reference for the transformation of deep learning algorithms in the clinic.