深度学习正在为医学图像分析问题提供令人兴奋的解决方案，并被视为未来应用的关键方法。本书对神经网络和深度学习概念的原理和方法有了清晰的认识，展示了将深度学习作为核心组成部分的算法是如何应用于医学图像检测、分割和配准以及计算机辅助分析的，使用了大量的应用领域。

《医学图像分析的深度学习》是医学图像分析领域的学术和行业研究人员，以及选修计算机视觉和医学图像计算与分析的机器学习和深度学习课程的研究生的重要学习资源。

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas.

Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.