曲阜师范大学学报（自然科学版）2025，Vol.51Issue(3)：81-87,7.DOI:10.3969/j.issn.1001-5337.2025.3.081
BGGNet:一种边界图与全局图双重导向的结直肠息肉分割网络
BGGNet:A dual-guided colorectal polyp segmentation algorithm for boundary map and global map
摘要
Abstract
A colorectal polyp segmentation network BGGNet(boundary graph and global graph guide network)is proposed,which is dual-oriented by boundary graphs and global graphs.In this paper,three network modules is designed:a single-level multi-scale feature extraction block,which is used to obtain contextual information of deep features;a boundary generation guidance module,which is used to fuse shal-low features of adjacent scales to generate a boundary guidance map;a deep global graph guidance module,used to generate global graph-guided features using the global graph and reverse attention.By combining Res2Net with the above model,a progressively refined polyp segmentation area decoder is constructed.This encoder can fuse global graph-oriented features and boundary graph-oriented features step by step,refine the polyp structure step by step,and improve accuracy of polyp segmentation.Experimental results on data sets such as Kvasir and CVC-612 show that the proposed BGGNet network model has better polyp segmen-tation performance.关键词
结直肠息肉/多尺度/注意力机制/特征融合Key words
colorectal polyps/multi-scale/attention mechanism/feature fusion分类
信息技术与安全科学引用本文复制引用
张忠正,侯加川,刘建磊..BGGNet:一种边界图与全局图双重导向的结直肠息肉分割网络[J].曲阜师范大学学报（自然科学版）,2025,51(3):81-87,7.基金项目
国家自然科学基金(61773243). （61773243）
