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A Comprehensive Survey of Recent Approaches on Microarray Image Data
Microarray image processing techniques are used to study gene expressions in the form of
images. This helps in genomic study without sequencing to extract useful information from …
images. This helps in genomic study without sequencing to extract useful information from …
A deep learning based method for automatic analysis of high-throughput droplet digital PCR images
H Yang, J Yu, L **, Y Zhao, Q Gao, C Shi, L Ye, D Li… - Analyst, 2023 - pubs.rsc.org
Droplet digital PCR (ddPCR) is a technique for absolute quantification of nucleic acid
molecules and is widely used in biomedical research and clinical diagnosis. ddPCR …
molecules and is widely used in biomedical research and clinical diagnosis. ddPCR …
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 …
the spot expressions simultaneously. However, state-of-art clustering-based segmentation …
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 …
analyzing thousands of gene expressions simultaneously. Especially, image analysis is a …
[PDF][PDF] Segmentation of complementary DNA microarray images using marker-controlled watershed technique
ABSTRACT DNA microarray image processing becomes a viable branch of bioinformatics,
its importance stems from the fact that it allows viewing and measuring tens of thousands of …
its importance stems from the fact that it allows viewing and measuring tens of thousands of …
Infants Disease Prediction Architecture Using Artificial Neural Networks and Digital Image Processing
VG Thamaraiselvi, VK Kaliappan - 2014 World Congress on …, 2014 - ieeexplore.ieee.org
Disease prediction of infants from DNA sequences remains as an open challenge in the
area of bioinformatics, which deals with understanding human diseases and in identification …
area of bioinformatics, which deals with understanding human diseases and in identification …
[PDF][PDF] Spatially Guided Energy Based Segmentation of Medical Images
Spatial domain based active contour models are commonly used in image processing and
computer vision. Performance of method can be influenced very much by Incorrect …
computer vision. Performance of method can be influenced very much by Incorrect …