A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour

Recently, coronary heart disease has attracted more and more attention, where segmentation and analysis for vascular lumen contour are helpful for treatment. And intravascular optical coherence tomography (IVOCT) images are used to display lumen shapes in clinic. Thus, an automatic segmentation meth...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2021-01, Vol.18 (1), p.62-69
Hauptverfasser:	Huang, Chenxi, Lan, Yisha, Xu, Gaowei, Zhai, Xiaojun, Wu, Jipeng, Lin, Fan, Zeng, Nianyin, Hong, Qingqi, Ng, E. Y. K., Peng, Yonghong, Chen, Fei, Zhang, Guokai
Format:	Artikel
Sprache:	eng
Schlagworte:	attention mechanism Biochemical Research Methods Biochemistry & Molecular Biology Blood Vessels - diagnostic imaging Cardiovascular disease Cardiovascular diseases Computer Science Computer Science, Interdisciplinary Applications contour segmentation Contours Convolution Coronary artery disease Data mining Databases, Factual Deep Learning Diagnostic systems Electronic mail Endovascular Procedures - methods Entropy Feature extraction Heart Heart diseases Humans Image Processing, Computer-Assisted - methods Image segmentation IVOCT images Life Sciences & Biomedicine Mathematics Mathematics, Interdisciplinary Applications Medical imaging Neural Networks, Computer Physical Sciences Residual network Science & Technology Statistics & Probability Technology Tomography, Optical Coherence - methods Training Working conditions
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