基于主动学习的深度医学图像分析算法综述

Review of medical image analysis methods with active deep learning

深度学习技术在医学图像分析领域发展得非常好,但医学图像注释成本高,使得深度学习技术在医学图像分析领域受到阻碍。主动学习算法是目前解决注释成本高的一个研究热点。文章介绍了在医学图像分析领域中采用主动深度学习降低注释成本的技术手段和方法,以便相关人员了解目前的研究进展。最后对主动学习方法仍存在的问题和发展趋势进行了总结和展望。

Deep learning technology has developed very well in the field of medical image analysis,but the high cost of medical image annotation hinders the application of deep learning technology in the field of medical image analysis.Active learning algorithm is a research hotspot to solve the problem of high annotation cost.This paper introduces the technical means and methods of using active deep learning to reduce annotation cost in the field of medical image analysis,so that the relevant personnel can understand the current research progress.Finally,the problems of active learning method are summarized and the development trend is prospected.