A Combination of Global and Local Features for Brain White Matter Lesion Classification

Khatabi, Abderrahim; Cherif, Walid

doi:10.1134/s1054661819030118

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Then, there were the inspection of nutritional biochemical indicators: in the early morning of the diet survey, venous blood was drawn from athletes before breakfast, and blood routine, serum total protein, serum albumin, serum globulin, ferritin, and other indicators were tested. Among them, we used flow cytometry to detect blood routine [ 25 ] (SYSMEX2100XE, 5 classification), biuret method to detect total protein (Olympus AU2700, Japan), and bromocresol green to detect serum albumin [ 26 ] (Olympus AU2700, Japan), using immunochemiluminescence method to detect serum ferritin (Beckmen automatic immunochemiluminescence instrument, USA).…”

Section: Research On the Diet Pattern Of Volleyball Playersmentioning

confidence: 99%

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Relationship between Volleyball Sports Nutrition Food and Sports Athletes’ Training and Physical Health Based on Medical Image Recognition

Jian

2021

Computational and Mathematical Methods in Medicine

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As we all know, the dietary nutrition of athletes has a great influence on physical condition and exercise ability. A good diet pattern is the basis of a reasonable diet for athletes. It helps to improve the function and physical state of athletes. This article is aimed at studying the impact of nutritious food on athletes’ training and physical health. This article proposes the relevant technology of medical image recognition, which is used to study the relationship between nutritious food and the health of volleyball players and athletes, and proposes methods such as weighing method, meal review method, and measurement method, and the purpose is to exercise nutritional research and provide new ideas and methods. In addition, 200 female volleyball players were randomly selected for comparative analysis. The experimental results in this paper show that the energy intake and energy consumption of the female intervention group maintained a balance after the intervention, and there was a significant change in the negative balance state before the intervention. The energy consumption changed from − 158.2 ± 156.2 to − 157.2 ± 129.6 . The number of athletes whose weight is close to the ideal range has increased from 44.8% to 48.5%.

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Section: Research On the Diet Pattern Of Volleyball Playersmentioning

confidence: 99%

“…Computational and Mathematical Methods in Medicine routine [25] (SYSMEX2100XE, 5 classification), biuret method to detect total protein (Olympus AU2700, Japan), and bromocresol green to detect serum albumin [26] (Olympus AU2700, Japan), using immunochemiluminescence method to detect serum ferritin (Beckmen automatic immunochemiluminescence instrument, USA).…”

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confidence: 99%

Relationship between Volleyball Sports Nutrition Food and Sports Athletes’ Training and Physical Health Based on Medical Image Recognition

Jian

2021

Computational and Mathematical Methods in Medicine

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GPU Based Angular Radial Transform for Image Analysis

Tang

Yang

et al. 2020

2020 2nd World Symposium on Artificial Intelligence (WSAI)

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Deep Learning Models for Airport Demand Forecasting With Google Trends

Koçak

2023

International Journal of Cyber Behavior, Psychology and Learning

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Managers gain new insights into how operational benefits can be achieved. Forecasting problems for passenger flow in airports are gaining interest among marketing researchers, but comparison of stochastic optimisation methods via deep learning forecasts with search query data is not yet available in the aviation field. To fill this gap, the current study predicts the demand of Madrid airport demand with Google search query data using H2O deep learning method. The findings indicate that there is a long-term relationship between search queries and actual passenger demand. Besides, search queries “fly to madrid,” and “flights to madrid spain” were found to be the cause of the actual domestic air passenger demand in Madrid. Also, to determine the best forecasting accuracy, stochastic gradient descent (SGD) optimisers were used. Specifically, findings indicate that Adam is a better optimiser increasing forecasting accuracy for Madrid airports.

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A Combination of Global and Local Features for Brain White Matter Lesion Classification

Cited by 3 publications

References 16 publications

Relationship between Volleyball Sports Nutrition Food and Sports Athletes’ Training and Physical Health Based on Medical Image Recognition

Relationship between Volleyball Sports Nutrition Food and Sports Athletes’ Training and Physical Health Based on Medical Image Recognition

GPU Based Angular Radial Transform for Image Analysis

Deep Learning Models for Airport Demand Forecasting With Google Trends

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