Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery
文献类型：期刊论文
| 作者 | Li, RX; Wang, DD; Sun, CM; Lagerstrom, R; Tan, H; He, Y; Xiao, TQ |
| 刊名 | SIGNAL AND IMAGE ANALYSIS FOR BIOMEDICAL AND LIFE SCIENCES
 |
| 出版日期 | 2015 |
| 卷号 | 823期号:-页码:177-189 |
| 关键词 | LEVEL SET METHOD LINEAR FEATURE HCA-VISION SHAPE ENHANCEMENT MODELS |
| 英文摘要 | Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery.pdf |
| 收录类别 | SCI |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.sinap.ac.cn/handle/331007/24627]  |
| 专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：上海应用物理研究所
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