M2CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation

doi:10.1007/s11517-025-03454-3

	M²CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation
	Dai, Longhui 1; Cao, Tongtong 1; Zhang, Lei 1; Wang, Yuanquan 1; Gan, Feng 2; Zhao, Di 3
	2025-10-26
发表期刊	MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
ISSN	0140-0118
页码	18
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.
关键词	Multi-scale Multi-frequency Segmentation Invasive coronary angiography
DOI	10.1007/s11517-025-03454-3
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology ; Medical Informatics
WOS记录号	WOS:001599827800001
出版者	SPRINGER HEIDELBERG
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41589
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.Hebei Univ Technol HeBUT, Sch Artificial Intelligence, Tianjin 300401, Peoples R China 2.Beijing Aerosp Gen Hosp, Dept Cardiovasc Med, Beijing 100076, 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.