A modified U-Net with dilated convolution and CBAM
Author:
Affiliation:
1. Southwest University of Science and Technology,School of Information Engineering,Mianyang,China
2. MianYang Product Quality Supervision & Inspection Institute,Mianyang,China
Funder
Innovation Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10280771/10280779/10280816.pdf?arnumber=10280816
Reference26 articles.
1. Rethinking the Inception Architecture for Computer Vision
2. Segmentation of lung nodules in CT images based on improved U-Net;long;Journal of Guangxi University of Technology,2022
3. Segmentation of lung parenchyma in CT image based on U-net++ Convolutional neural network;jiang;ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING,0
4. DENSE-INception U-net for medical image segmentation
5. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),2015
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