Automatic microarray image segmentation with clustering-based algorithms

G Shao, D Li, J Zhang, J Yang, Y Shangguan - PloS one, 2019 - journals.plos.org
Image segmentation, as a key step of microarray image processing, is crucial for obtaining
the spot expressions simultaneously. However, state-of-art clustering-based segmentation …

Pixel intensity clustering algorithm for multilevel image segmentation

OO Olugbara, E Adetiba… - Mathematical Problems in …, 2015 - Wiley Online Library
Image segmentation is an important problem that has received significant attention in the
literature. Over the last few decades, a lot of algorithms were developed to solve image …

[HTML][HTML] Microarray spot segmentation algorithm based on integro-differential operator

RM Farouk, MA SayedElahl - Egyptian Informatics Journal, 2019 - Elsevier
Microarray technology has increased exponentially in the past few years. Such technology
encompasses various applications related to drug design, tumor detection, clinical diagnosis …

A combinational clustering based method for cDNA microarray image segmentation

G Shao, T Li, W Zuo, S Wu, T Liu - PloS one, 2015 - journals.plos.org
Microarray technology plays an important role in drawing useful biological conclusions by
analyzing thousands of gene expressions simultaneously. Especially, image analysis is a …

[PDF][PDF] An improved K-means clustering method for cDNA microarray image segmentation

TN Wang, TJ Li, GF Shao, SX Wu - Genet Mol Res, 2015 - funpecrp.com.br
Microarray technology is a powerful tool for human genetic research and other biomedical
applications. Numerous improvements to the standard K-means algorithm have been …

An enhanced approach for spot segmentation of microarray images

SA Karthik, SS Manjunath - Procedia computer science, 2018 - Elsevier
Separation of front ground from the background of the spot is the secondary step in
microarray investigation. Microarray spots are useful in determining the differential gene …

Contrast enhancement for cDNA microarray image based on fourth-order moment

T Li, G Shao, Y Sun, W Shi - Signal, Image and Video Processing, 2018 - Springer
Microarray technology, which can monitor the expression levels of thousands of genes
simultaneously, has been widely used in biological experiment. Image processing, as one …

cDNA microarray image segmentation with an improved moving k-means clustering method

G Shao, S Wu, T Li - Proceedings of the 2015 IEEE 9th …, 2015 - ieeexplore.ieee.org
Different clustering based strategies have been proposed to increase the performance of
image segmentation. However, due to complexity of chip preparing process, the real …

A cross-platform test tool for digital image processing

İ İlhan - Multimedia Tools and Applications, 2021 - Springer
Image processing is one of the current research topics widely used in different engineering
fields. Therefore, it is taught as a lesson under different names in various engineering …

Efficient GPU-based Gridding and Segmentation of Microarray Images via K-Means and Fuzzy C-Means

JE Clapten, MM Sasimekala… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The analysis of microarray image helps in identifying new genes that enables us to
understand their functions and gene expression levels simultaneously at different …