M2CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation
文献类型:期刊论文
| 作者 | Dai, Longhui2; Cao, Tongtong2; Zhang, Lei2; Wang, Yuanquan2; Gan, Feng1; Zhao, Di3 |
| 刊名 | MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
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| 出版日期 | 2025-10-26 |
| 页码 | 18 |
| 关键词 | Multi-scale Multi-frequency Segmentation Invasive coronary angiography |
| ISSN号 | 0140-0118 |
| DOI | 10.1007/s11517-025-03454-3 |
| 英文摘要 | Accurate segmentation of invasive coronary angiography (ICA) images is crucial for diagnosing of coronary artery disease (CAD). While existing deep learning-based segmentation models have shown promising results, most operate solely in the spatial domain and overlook informative cues available in the frequency domain. To address this limitation, we design a multi-scale and multi-frequency channel attention neural network (M(2)CA), which fuses spatial and frequency information to enhance ICA image segmentation. Specifically, we introduce a multi-frequency channel attention (MCA) block based on 2D discrete cosine transform (2D DCT) to extract global frequency representations, enhancing channel discrimination. Combined with multi-scale convolutions, this design facilitates effective fusion of spatial and frequency-domain features. We validate our model on both public and clinical datasets, where M(2)CA- achieves superior segmentation performance and outperforms several state-of-the-art architectures. |
| 资助项目 | National Natural Science Foundation of China (NSFC)[62472142] ; National Natural Science Foundation of China (NSFC)[61976241] ; Jing-Jin-Ji Incorporation Project of the Natural Sci-ence Foundation of Hebei Province[H2024202009] ; Natural Science Foundation of Tianjin[24JCZXJC00080] ; Natural Science Foundation of Tianjin[24YFXTHZ00250] |
| WOS研究方向 | Computer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics |
| 语种 | 英语 |
| WOS记录号 | WOS:001599827800001 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/41588] ![]() |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Wang, Yuanquan; Gan, Feng |
| 作者单位 | 1.Beijing Aerosp Gen Hosp, Dept Cardiovasc Med, Beijing 100076, Peoples R China 2.Hebei Univ Technol HeBUT, Sch Artificial Intelligence, Tianjin 300401, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Longhui,Cao, Tongtong,Zhang, Lei,et al. M2CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation[J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,2025:18. |
| APA | Dai, Longhui,Cao, Tongtong,Zhang, Lei,Wang, Yuanquan,Gan, Feng,&Zhao, Di.(2025).M2CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation.MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,18. |
| MLA | Dai, Longhui,et al."M2CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation".MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2025):18. |
入库方式: OAI收割
来源:计算技术研究所
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