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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 …
Object boundary detection through robust active contour based method with global information
R Kashyap - International Journal of Image Mining, 2018 - inderscienceonline.com
Restorative applications have turned to the healthcare industry various therapeutic
applications require legitimate segmentation of medical images for an exact determination …
applications require legitimate segmentation of medical images for an exact determination …
Artificial intelligence systems in aviation
R Kashyap - Cases on modern computer systems in aviation, 2019 - igi-global.com
The aim of this chapter is to research and fundamentally evaluate counterfeit shrewd
frameworks to recognize for outperforming human insight in the flights and its conceivable …
frameworks to recognize for outperforming human insight in the flights and its conceivable …
Active contours using global models for medical image segmentation
Accurate segmentation with denoising is the subject of research in the field of medical
imaging and computer vision. This paper presents an enhanced energy based active …
imaging and computer vision. This paper presents an enhanced energy based active …
Big data challenges and solutions in the medical industries
R Kashyap, AD Piersson - Handbook of Research on Pattern …, 2018 - igi-global.com
Big data today is being investigated to find the bits of knowledge that prompt better choices
and vital business moves. The data innovations are develo** to a point in which an ever …
and vital business moves. The data innovations are develo** to a point in which an ever …
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 …
Energy-based active contour method for image segmentation
The level set methods have given effective structures to medical image analysis.
Nonetheless, to acquire exact limits of the objects, particularly when they have feeble edges …
Nonetheless, to acquire exact limits of the objects, particularly when they have feeble edges …
Impact of big data on security
R Kashyap, AD Piersson - … of Research on Network Forensics and …, 2018 - igi-global.com
The motivation behind this chapter is to highlight the qualities, security issue, advantages,
and disadvantages of big data. In the recent researches, the issue and challenges are due …
and disadvantages of big data. In the recent researches, the issue and challenges are due …
[PDF][PDF] Energy based methods for medical image segmentation
Health care applications have become boon for the healthcare industry. It needs correct
segmentation connected with medical images regarding correct diagnosis. An efficient …
segmentation connected with medical images regarding correct diagnosis. An efficient …