Study Effects of Pulse Laser Energy on Human Primary Teeth and Extraction Caries Area by Using Image Processing Techniques

Ahmed, Asmaa N.

doi:10.14704/nq.2020.18.6.nq20180

Cited by 6 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…'e focus of Arora's research has been on automated invoice processing tasks [3]. Ahmed et al have established a recommendation algorithm based on the recommendation threshold based on the statistical features of the image [4]. Makarenko has developed an algorithm for applying digital image processing to determine the angular position of a VTOL drone's ship deck or any other flat landing surface [5].…”

Section: Introductionmentioning

confidence: 99%

Image Processing Method Based on FGCA and Artificial Neural Network

Yuan

2022

Scientific Programming

View full text Add to dashboard Cite

With the aggravation of human sub-health problems, people’s demand for medical assistance is increasing. In the face of an endless stream of diseases, doctors use medical image analysis to intuitively obtain the morphological information of the affected part of the disease, which is convenient for doctors to make a more accurate assessment of the disease. The processing of medical images is essential for the treatment of people’s diseases and subsequent observation and recovery. Therefore, it is necessary to pay attention to the development and innovation of image processing. With the continuous increase of diseases and the innovation and development of technology, the existing medical image processing technology still has problems such as noise and low image contrast. The application of fuzzy genetic clustering algorithms and artificial neural networks can help image processing be more accurate and perfect. In view of the above problems, this paper has carried out data analysis and research on image processing methods based on fuzzy genetic clustering algorithm (FGCA) and artificial neural network (ANN). The research results have shown that in the case of no noise and 5% salt and pepper noise, the FGCA segmentation coefficient is the largest, at 0.9756 and 0.9758, respectively, and the segmentation entropy is the smallest, at 0.0885 and 0.0925, respectively. The liver CT (Computer Tomography) image segmentation method based on DeepLab V3+ has the highest PA, Mlou value, and Dice coefficient, which are 88%, 95%, and 94%, respectively, which has laid the foundation for the innovation and development of image processing methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Image Processing Method Based on FGCA and Artificial Neural Network

Yuan

2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…If (I Ca /I Mg ) > 4.3, it can be considered a healthy tooth. Ahmed et al [161] applied LIBS and found that P, Na, and Ca concentrations are higher in healthy portions than carious parts of deciduous teeth (baby teeth).…”

Section: Trace Element Detection Inmentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review

Khan

Ullah

Rahman

et al. 2022

Journal of Spectroscopy

View full text Add to dashboard Cite

Laser-induced breakdown spectroscopy (LIBS) has emerged as a promising technique for both quantitative and qualitative analysis of elements in a wide variety of samples. However, conventional LIBS suffers from a high limit of detection (LoD) compared with other analytical techniques. This review briefly discusses several methods that demonstrate the applicability and prospects for trace element detection while lowering the LoD when coupled with LIBS. This review compares the enhancement mechanisms, advantages, and limitations of these techniques. Finally, the recent development and application of LIBS coupled techniques for trace element detection are also discussed for various samples such as metal alloys, biomaterials, rare earth elements, explosives, drinking water, and water bodies.

show abstract

“…One of the methods for diagnosing plasmas is optical emission spectroscopy [14,15]. It is used to learn about the nature of plasma, including its chemical composition and types, as well as the gases that comprise the plasma [16].…”

Section: Optical Emission Spectroscopymentioning

confidence: 99%

The Thermal Properties of Gliding arc Plasma Produced by Laboratory Reverse Vortex Flow System

Lazem

Humud

2021

IJP

View full text Add to dashboard Cite

A low-cost reverse flow plasma system powered by argon gas pumping was built using homemade materials in this paper. The length of the resulting arc change was directly proportional to the flow rate, while using the thermal camera to examine the thermal intensity distribution and demonstrating that it is concentrated in the centre, away from the walls at various flow rates, the resulting arc's spectra were also measured. The results show that as the gas flow rate increased, so did the ambient temperature. The results show that the medium containing the arc has a maximum temperature of 34.1 ˚C at a flow rate of 14 L/min and a minimum temperature of 22.6 ˚C at a flow rate of 6 L/min.

show abstract

Study Effects of Pulse Laser Energy on Human Primary Teeth and Extraction Caries Area by Using Image Processing Techniques

Cited by 6 publications

References 8 publications

Image Processing Method Based on FGCA and Artificial Neural Network

Image Processing Method Based on FGCA and Artificial Neural Network

Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review

The Thermal Properties of Gliding arc Plasma Produced by Laboratory Reverse Vortex Flow System

Contact Info

Product

Resources

About