Going Deep in Medical Image Analysis：Concepts, Methods, Challenges and Future Directions --深入医学图像分析：概念，方法，挑战和未来方向；此文章2019年发表于Computer Vision and Pattern Recognition期刊，讲解了深度学习各框架在医疗图像各领域的应用与挑战，对各个网络结构进行了大量的分析，非常好的一片文章。本人进行了翻译，可进行中英文对照阅读。

UNet 3 A Full-Scale Connected UNet for Medical Image

医学图像处理软件，功能强大，小软件挺不错,win7下都能直接使用

In landmark-based image registration, estimating the landmark correspondence plays an important role. In this letter, a novel landmark correspondence estimation technique using mean shift algorithm is proposed. Image corner points are detected as landmarks and mean shift iterations are adopted to find the most probable corresponding point positions in two images. Mutual information between intensity of two local regions is computed to eliminate mis-matching points. Multi-level estimation (MLE) t

An improved FCM medical image segmentation algorithm based on MMTD

很有用的介绍医学图像重建算法的教材，高清高质量电子文档

2017 Deep Learning and Convolutional Neural Networks for Medical Image Computing.pdf