cDNA Microarray Image Segmentation Using Shape-Adaptive DCT and K-means Clustering

2011 ◽  
pp. 317-324 ◽  
Author(s):  
Guirong Weng ◽  
Yijun Hu ◽  
Zhiyao Li
Keyword(s):  
Image Segmentation ◽  
Cdna Microarray ◽  
Microarray Image

cDNA microarray image segmentation using root signals

2006 ◽  
Vol 16 (2) ◽  
pp. 51-64 ◽  
Author(s):  
Rastislav Lukac ◽  
Konstantinos N. Plataniotis
Keyword(s):  
Image Segmentation ◽  
Cdna Microarray ◽  
Microarray Image ◽  
Root Signals

Grow-Cut Based Automatic cDNA Microarray Image Segmentation

2015 ◽  
Vol 14 (1) ◽  
pp. 138-145 ◽  
Author(s):  
Stamos Katsigiannis ◽  
Eleni Zacharia ◽  
Dimitris Maroulis
Keyword(s):  
Image Segmentation ◽  
Cdna Microarray ◽  
Microarray Image

scholarly journals A novel neural network approach to cDNA microarray image segmentation

2013 ◽  
Vol 111 (1) ◽  
pp. 189-198 ◽  
Author(s):  
Zidong Wang ◽  
Bachar Zineddin ◽  
Jinling Liang ◽  
Nianyin Zeng ◽  
Yurong Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Segmentation ◽  
Cdna Microarray ◽  
Network Approach ◽  
Neural Network Approach ◽  
Microarray Image

Segmentation of cDNA Microarray Image Using Fuzzy c-Mean Algorithm and Mathematical Morphology

2011 ◽  
Vol 464 ◽  
pp. 159-162 ◽  
Author(s):  
Zhi Yao Li ◽  
Gui Rong Weng
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Cdna Microarray ◽  
Glass Slide ◽  
Sequence Information ◽  
Microarray Technology ◽  
Segmentation Method ◽  
Microarray Image ◽  
Adaptive Partitioning ◽  
Low Expression

cDNA microarray technology provides an effectual tool to explore the enormous genome. cDNA microarray consists of thousands of gene sequences which are printed on glass slide and these sequence information can be obtained by forming a microarray image. So image analysis is crucial. However, image segmentation is another key point. How to deal with the gene spots which are always comprised with imperfection such as irregular contours, donut shapes, artifact and spots with low expression is important to the robustness of the segmentation method. The paper proposed a method based on fuzzy c-mean algorithm which can effectively avoid the influence of various types of artifacts through adaptive partitioning.

scholarly journals An improved K-means clustering method for cDNA microarray image segmentation

2015 ◽  
Vol 14 (3) ◽  
pp. 7771-7781 ◽  
Author(s):  
T.N. Wang ◽  
T.J. Li ◽  
G.F. Shao ◽  
S.X. Wu
Keyword(s):  
Image Segmentation ◽  
Cdna Microarray ◽  
Clustering Method ◽  
Microarray Image

scholarly journals A Combinational Clustering Based Method for cDNA Microarray Image Segmentation

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0133025 ◽  
Author(s):  
Guifang Shao ◽  
Tiejun Li ◽  
Wangda Zuo ◽  
Shunxiang Wu ◽  
Tundong Liu
Keyword(s):  
Image Segmentation ◽  
Cdna Microarray ◽  
Microarray Image

scholarly journals Automated cDNA Microarray Image Segmentation

2007 ◽  
Author(s):  
Alan Wee-Chung Liew ◽  
Hong Yan ◽  
Tuan D. Pham ◽  
Xiaobo Zhou
Keyword(s):  
Image Segmentation ◽  
Cdna Microarray ◽  
Microarray Image
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