Biomedical applications of sodium meta silicate gel as coupling medium for microwave medical imaging

2004 ◽  
Author(s):  
V. Hamsakutty ◽  
A. Lonappan ◽  
J. Jacob ◽  
G. Bindu ◽  
V. Thomas ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Biomedical Applications ◽  
Meta Silicate ◽  
Coupling Medium ◽  
Sodium Meta Silicate

Wavelet Transform-Based Soft Computational Techniques and Applications in Medical Imaging

2016 ◽  
pp. 339-363
Author(s):  
Shabana Urooj ◽  
Satya P. Singh
Keyword(s):  
Neural Networks ◽  
Wavelet Transform ◽  
Medical Imaging ◽  
Biomedical Applications ◽  
Imaging Techniques ◽  
Emission Tomography ◽  
Computational Techniques ◽  
Biomedical Image ◽  
Positron Emission ◽  
Neuro Imaging

The aim of this chapter is to highlight the biomedical applications of wavelet transform based soft computational techniques i.e. wavenet and corresponding research efforts in imaging techniques. A brief introduction of wavelet transform, its properties that are vital for biomedical applications touched by various researchers and basics of neural networks has been discussed. The concept of wavelon and wavenet is also discussed in detail. Recent survey of wavelet based neural networks in medical imaging is another facet of this script, which includes biomedical image denoising, image enhancement and functional neuro-imaging, including positron emission tomography and functional MRI.

scholarly journals Special Features on Intelligent Imaging and Analysis

2019 ◽  
Vol 9 (22) ◽  
pp. 4804 ◽  
Author(s):  
Dosik Hwang ◽  
DaeEun Kim
Keyword(s):  
Computer Vision ◽  
Medical Imaging ◽  
Biomedical Applications ◽  
Visual Inspection ◽  
Research Fields ◽  
Robot Systems

Intelligent imaging and analysis have been studied in various research fields, including medical imaging, biomedical applications, computer vision, visual inspection and robot systems [...]

scholarly journals INFLUENCE OF LIGNITE-ACTIVATED WATER ON SEED GERMINATION, CUTTING PROPAGATION, AND PLANT PERFORMANCE

HortScience ◽  
1996 ◽  
Vol 31 (5) ◽  
pp. 744a-744
Author(s):  
Rachel Emrick ◽  
D. L. Creech ◽  
G. Bickerstaff
Keyword(s):  
Seed Germination ◽  
Woody Species ◽  
Dry Weight ◽  
Echinacea Purpurea ◽  
Germination Percentage ◽  
Plant Performance ◽  
Cutting Propagation ◽  
Meta Silicate ◽  
Rapid City ◽  
Sodium Meta Silicate

This project tested rates of lignite-activated water (LAW) for its influence on seed germination, cutting propagation, and plant performance. LAW is a product of CAW Industries, Rapid City, S.D. LAW is water-activated by lignite in a process that includes the addition of sulfated castor oil, calcium chloride, magnesium sulfate, sodium meta silicate, and fossilized organics from refined lignite. LAW is reported to improve many plant performance traits. Four rates were used in this study. Seed germination trials indicated no significant differences in germination percentage with LAW applications with the two species tested, Echinacea purpurea and Hibiscus dasycalyx. In a “closed” system, LAW enhanced cutting propagation success of Aster caroliniana, Cuphea micropetala, and Verbena `Homestead Purple', as measured by percent rooting and dry weight of roots produced. Cutting propagation of two woody species, Illicium henryi and Rosa banksiae, was not improved with LAW additions. In the SFASU Arboretum, pansy performance, as measured by plant dry weight, was improved one month after establishment.

scholarly journals An investigation of resistance of sodium meta silicate activated slag mortar to acidic and basic mediums

2020 ◽  
pp. 127-133
Author(s):  
Şinasi Bingöl ◽  
◽  
Cahit Bilim ◽  
Cengiz Duran Atiş ◽  
Uğur Durak ◽  
...  
Keyword(s):  
Activated Slag ◽  
Meta Silicate ◽  
Sodium Meta Silicate

Lipoproteins for Biomedical Applications: Medical Imaging and Drug Delivery

2020 ◽  
pp. 207-255
Author(s):  
Pratap C. Naha ◽  
Stephen E. Henrich ◽  
David P. Cormode ◽  
C. Shad Thaxton
Keyword(s):  
Drug Delivery ◽  
Medical Imaging ◽  
Biomedical Applications

THE EFFECT OF BUILDERS IN HARD WATER DETERGENT SOLUTIONS

1948 ◽  
Vol 26f (2) ◽  
pp. 76-85
Author(s):  
Muriel W. Foster ◽  
Jessie S. Roberts ◽  
Jessie B. Brodie
Keyword(s):  
Soil Removal ◽  
Hard Water ◽  
Sodium Hexametaphosphate ◽  
Water Softening ◽  
High Concentrations ◽  
Insoluble Compounds ◽  
Meta Silicate ◽  
Sodium Meta Silicate ◽  
Soda Ash ◽  
Detergent Solutions

The water-softening ability of soda ash, trisodium phosphate, sodium meta-silicate, tetrasodium pyrophosphate, and sodium hexametaphosphate was investigated. Each builder possessed great water-softening power and in each case the reaction with hardness was immediate and the residual hardness from maximum softening was less than 1 grain per gallon of water. The effect in detergent solutions of builders at concentrations that had given maximum softening in the above tests was investigated by determining soil removal, degradation, and deposit of insoluble compounds after 10 launderings of standardly soiled flannelette. In these relatively high concentrations the alkaline builders gave inferior detergency to that of soap alone in hard water. The sequestering agent, sodium hexametaphosphate, gave results that were superior to soap alone in hard water and equal to that of soap alone in soft water. In every instance the addition of builder before soap produced the same effect as builder with soap.

Sodium meta silicate doped PPy and PT composites with giant dielectric constant

2017 ◽  
Vol 24 (5) ◽  
pp. 3031-3037 ◽  
Author(s):  
Seda Erdonmez ◽  
Yasar Karabul ◽  
Ayse Evrim Bulgurcuoglu ◽  
Mehmet Kilic ◽  
Zeynep Guven Ozdemir ◽  
...  
Keyword(s):  
Dielectric Constant ◽  
Giant Dielectric ◽  
Giant Dielectric Constant ◽  
Meta Silicate ◽  
Sodium Meta Silicate

Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications

2020 ◽  
pp. 155-171
Author(s):  
R. Udendhran ◽  
Balamurugan M.
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Medical Imaging ◽  
Medical Image ◽  
Biomedical Applications ◽  
Medical Image Analysis ◽  
Learning Algorithms ◽  
New Era ◽  
Fast Development ◽  
Computational Technology

The recent growth of big data has ushered in a new era of deep learning algorithms in every sphere of technological advance, including medicine, as well as in medical imaging, particularly radiology. However, the recent achievements of deep learning, in particular biomedical applications, have, to some extent, masked decades-long developments in computational technology for medical image analysis. The methods of multi-modality medical imaging have been implemented in clinical as well as research studies. Due to the reason that multi-modal image analysis and deep learning algorithms have seen fast development and provide certain benefits to biomedical applications, this chapter presents the importance of deep learning-driven medical imaging applications, future advancements, and techniques to enhance biomedical applications by employing deep learning.

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