CAS OpenIR  > 中科院上海应用物理研究所2011-2019年
Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery
Li, RX; Wang, DD; Sun, CM; Lagerstrom, R; Tan, H; He, Y; Xiao, TQ
2015
Source PublicationSIGNAL AND IMAGE ANALYSIS FOR BIOMEDICAL AND LIFE SCIENCES
Volume823Issue:-Pages:177-189
Subtype丛书文献
AbstractTowards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery.pdf
KeywordLevel Set Method Linear Feature Hca-vision Shape Enhancement Models
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.sinap.ac.cn/handle/331007/24627
Collection中科院上海应用物理研究所2011-2019年
Recommended Citation
GB/T 7714
Li, RX,Wang, DD,Sun, CM,et al. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery[J]. SIGNAL AND IMAGE ANALYSIS FOR BIOMEDICAL AND LIFE SCIENCES,2015,823(-):177-189.
APA Li, RX.,Wang, DD.,Sun, CM.,Lagerstrom, R.,Tan, H.,...&Xiao, TQ.(2015).Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery.SIGNAL AND IMAGE ANALYSIS FOR BIOMEDICAL AND LIFE SCIENCES,823(-),177-189.
MLA Li, RX,et al."Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery".SIGNAL AND IMAGE ANALYSIS FOR BIOMEDICAL AND LIFE SCIENCES 823.-(2015):177-189.
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