DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution

no code implementations • 26 Sep 2020 • Hongfeng You, Long Yu, Shengwei Tian, Xiang Ma, Yan Xing, Xiaojie Ma

To solve the above problems, in this paper, we propose a novel end-to-end semantic segmentation algorithm, DT-Net, and use two new convolution strategies to better achieve end-to-end semantic segmentation of medical images.

Segmentation Semantic Segmentation

A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation

no code implementations • 25 Mar 2020 • Hongfeng You, Shengwei Tian, Long Yu, Xiang Ma, Yan Xing, Ning Xin

We use the output feature maps from the multiple max-pooling integration module as the input of the decoder network; the multiscale convolution of each submodule in the decoder network is cross-fused with the feature maps generated by the corresponding multiscale convolution in the encoder network.

Decoder Segmentation +1