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RISS 인기검색어
- 검색키워드
- 저자 : Mehran Yazdi (검색결과 3 건)
- 무료
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Automated segmentation of concrete images into microstructures: A comparative study
Mehran Yazdi,Katayoon Sarafrazi 사단법인 한국계산역학회 2014 Computers and Concrete, An International Journal Vol.14 No.3
Concrete is an important material in most of civil constructions. Many properties of concrete can be determined through analysis of concrete images. Image segmentation is the first step for the most of these analyses. An automated system for segmentation of concrete images into microstructures using texture analysis is proposed. The performance of five different classifiers has been evaluated and the results show that using an Artificial Neural Network classifier is the best choice for an automatic image segmentation of concrete.
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Improved IHS Pan-Sharpening Method Based on Adaptive Injection of À trous Wavelet Decomposition
Saber Noroozpour Lari,Mehran Yazdi 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3
The goal of pan-sharpening is to increase both spatial and spectral resolution of multispectral images. Intensity-hue-saturation (IHS) is one of widely efficient image fusion methods used in recent years. The drawback of IHS is spectral distortion in its results which can be improved by use of wavelet decomposition in IHS-based pan-sharpening methods. Employing Wavelet transforms enhances the resolution of Multispectral (MS) images while maintaining the spectral properties. This paper presents an adaptive IHS-based fusion using "à trous" wavelet (ATW) decomposition based on injecting weighted high frequency components of high spatial panchromatic (PAN) image obtained through à trous decomposition into resampled version of the MS images. Furthermore, the parameters used in the proposed algorithm are optimized through the genetic and Teaching-Learning algorithms. Finally, the proposed method is evaluated using the IKONOS and Landsat ETM+ images and compared to the other conventional methods to confirm its superiority.
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Alireza Sadeghi,Somayeh Sadeghi,Mohammad Saleh Peikar,Maryam Yazdi,Mehran Sharifi,Safie Ghafel,Farzin Khorvash,Behrooz Ataei,Mohammad Reza Safavi,Elahe Nasri 대한혈액학회 2023 Blood Research Vol.58 No.2
Background With the emergence of the coronavirus disease 2019 (COVID-19) and inability of healthcare systems to control the disease, various therapeutic theories with controversial responses have been proposed. Plasmapheresis was administered as a medication. However, the knowledge of its efficacy and indications is inadequate. This study evaluated the use of plasmapheresis in critically ill patients with cancer. Methods This randomized clinical trial was conducted on 86 patients with malignancies, including a control group (N=41) and an intervention group (N=45) with severe COVID-19 during 2020-21. Both groups were treated with routine medications for COVID-19 management according to national guidelines, and plasmapheresis was applied to the intervention group. C-reactive protein (CRP), D-dimer, ferritin, lactate dehydrogenase, hemoglobin, and white blood cell, polymorphonuclear, lymphocyte, and platelet levels were measured at admission and at the end of plasmapheresis. Other variables included neutrophil recovery, intensive care unit admission, intubation requirements, length of hospital stay, and hospitalization outcomes. Results CRP (P <0.001), D-dimer (P <0.001), ferritin (P =0.039), and hemoglobin (P =0.006) levels were significantly different between the groups after the intervention. Neutrophil recovery was remarkably higher in the case than in the control group (P <0.001). However, plasmapheresis did not affect the length of hospital stay (P=0.076), which could have significantly increased survival rates (P <0.001). Conclusion Based on the study findings, plasmapheresis led to a significant improvement in laboratory markers and survival rate in patients with severe COVID-19. These findings reinforce the value of plasmapheresis in cancer patients as a critical population suffering from neutropenia and insufficient immune responses.
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