基于V-Net的腹部多器官图像分割

Multi-Organ Abdominal Image Segmentation Based on V-Net

基于深度学习的图像分割中,好的训练效果不仅仅是选择了合适的网络框架,损失函数的选择也同样重要。本文中我们实现一种全卷积神经网络的三维图像分割方法,该方法基于V-Net框架[1]。该网络是end-to-end的,的连接训练方案使用了PyTorch进行了实现,作为医学图像分割的基本实现。

In the image segmentation based on deep learning, good training effect is not only the selection of appropriate network framework, but also the selection of loss function. In this paper, we implement a full convolutional neural network 3 d image segmentation method based on the V-Net framework[1].The network is end-to-end, and PyTorch is used as the basic implementation of medical image segmentation.