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长春光学精密机械与物... [1]
复旦大学上海医学院 [1]
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2011 [1]
2009 [1]
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TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE)
会议论文
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yao Z.
;
Han Q.
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浏览/下载:16/0
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提交时间:2013/03/25
In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute
most of them need plenty of samples and prior Knowledge. In this paper
within a few evident samples (not too many)
we can first get the texture feature of each component and the structures
then select the approximately location randomly of the objects or patches of them
then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.
口服减毒沙门氏菌传递shRNA表达载体在抗肿瘤治疗中的应用及前脑特异转录因子Fezf2对斑马鱼多种神经元协调发育的调控
学位论文
2009
作者:
杨楠
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浏览/下载:3/0
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提交时间:2019/12/19
RNA干扰
减毒鼠伤寒沙门氏菌
shRNA
肿瘤靶向性
肿瘤治疗
前脑特异锌指蛋白
fezf2
too few
斑马鱼
神经分化
多巴胺能神经元
5-羟色胺能神经元
GABA神经元
proneural基因
Notch信号通路
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