Deep Poincare Map for Robost Medical Image Segmentation 论文阅读
Deep Poincare Map for Robost Medical Image Segmentation于17年3月份发表在arXiv上，作者来自帝国理工学院。 这篇文章提出了一种半自动方法（需要初始点和初始向量，但并不是过分依赖），将分割问题看成动态系统，用CNN来预测动态系统的演变，也是属于深度学习和传统方法结合的类型。 Motivation 分割问题作为基本任务，目前解决方案主要有re
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相关文章
- 1. 论文阅读——LADDERNET: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION
- 2. 【论文阅读】Deep Residual Learning for Image Recognition
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