BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for
Biomedical Image Segmentation

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BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation

British Machine Vision Conference (BMVC), 2021

27 October 2021

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Papers citing "BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation"

8 / 8 papers shown

Title
Frontiers in Intelligent Colonoscopy Ge-Peng Ji Jingyi Liu Peng Xu Nick Barnes Fahad Shahbaz Khan Salman Khan Deng-Ping Fan 320 11 0 22 Oct 2024
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning Xinxu Wei Xi Lin Haiyun Liu Shixuan Zhao Yongjie Li 176 0 0 17 Sep 2024
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey Zhenyu Wu Fengmao Lv Chenglizhao Chen Aimin Hao Shuo Li ELM 209 20 0 22 Jan 2024
Latent Graph Attention for Enhanced Spatial Context Ayush Singh Yash Bhambhu Himanshu Buckchash D. K. Gupta Dilip K. Prasad 171 4 0 09 Jul 2023
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net Yuchen Zhang Y. Meng Yalin Zheng 80 5 0 27 Apr 2023
ISG: I can See Your Gene ExpressionBritish Machine Vision Conference (BMVC), 2022 Yan Yang Liyuan Pan Liu Liu Eric A. Stone VLM 67 2 0 30 Oct 2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source DataBritish Machine Vision Conference (BMVC), 2022 Qian Yu Dongnan Liu Chaoyi Zhang Xinwen Zhang Weidong (Tom) Cai OOD 145 4 0 10 Oct 2022
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs Y. Meng Xu Chen Dongxu Gao Yitian Zhao Xiaoyun Yang Yihong Qiao Xiaowei Huang Yalin Zheng 3DH 3DPC CVBM 164 3 0 09 Mar 2022