Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation 截至3.8,引用次数22 这篇文章把CT腹部扫描图分割当成一个分类问题处理,使用一个基于CNN的级连分类器框架。使用两个编码解码器卷积网络训练来进行级联分割肝和病灶(EDCNN)。即第一个EDCNN分割肝图片的结果(ROI区域)作...
图像分割:LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation,程序员大本营,技术文章内容聚合第一站。
图像分割领域用到编解码的网络比较多,早期的Unet,Segnet,以及后面的Deeplab细节的最后一篇Deeplab3p都有...
without relying on a pre-trained backbone. The information in the input image and in the current estimation of the segmentation map is merged by summing the output of two encoders. Additional encoding layers and a decoder are then used to iteratively refine the segmentation map using a diffusion...
图像分割领域用到编解码的网络比较多,早期的Unet,Segnet,以及后面的Deeplab细节的最后一篇Deeplab3p都有...