Cell Image Segmentation by Feature Random Enhancement Module
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Affiliation:
1. Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan, --- Select a Country ---
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SCITEPRESS - Science and Technology Publications
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders;Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2022
2. Comparison of Plain and Dense Skip Connections on U-Net Architecture for Change Detection;Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022);2022
3. An Accurate Segmentation Method for Experimental Image of Cells;2021 7th International Conference on Computer and Communications (ICCC);2021-12-10
4. kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation;Medical Image Computing and Computer Assisted Intervention – MICCAI 2021;2021
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