RETRACTED: Research on nano-CT medical image processing based on embedded system

Cai, Shengyan; Chai, Fangyuan; Hu, Chunhuan; Han, Xue

doi:10.1016/j.micpro.2020.103755

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…The technique of imaging the pathological type of stroke uses neuroimaging Computerized Tomography (CT) Scan of the head or with Magnetic resonance imaging (MRI). The performance of CT scans in depicting new stroke pathology images will appear after one day [6], [7], [8]. MRI is an alternative to speed up the imaging technique of stroke pathology, which has a high resolution compared to CT scans, but MRI still has weaknesses because if the depiction is not a stroke, then a medical person still considers it a minor stroke, this can cause errors in the image take a medical decision because it cannot be detected by either CT scan or MRI [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Improvement of CT-Scan/MRI Medical Image Quality in Stroke Patients with Hybrid Thresholding Method: A Case Study in Padang BMC Hospital

Sumijan¹,

Purnama²

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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Stroke is one of the main problems in the medical field, one of the top 3 causes of death in the world. 1) Coronary heart as much as 13%, 2) Cancer as much as 12%, 3) Stroke as much as 7.9%. Stroke often occurs in developing countries, such as Indonesia. One effort to minimize the risk of stroke is to take preventive measures in stroke patients, both before and after a stroke. The way to prevent stroke is by primary and secondary measures. Prevention of stroke symptoms can be avoided with fast and appropriate treatment in stroke care according to medical service standards. This study applies texture analysis and improves the quality of CT-Scan or Magnetic Resonance Imaging (MRI) brain images using the Hybrid Thresholding (HT) method, which is a combination of edge detection methods and P-Files. Differences in the texture of images of brain hemorrhages that indicate stroke and clarify the quality of images of brain hemorrhages that indicate strokes with the parameters of contrast, correlation, energy, and homogeneity. The results of segmentation and feature extraction and texture are then classified using the Backprogation Neural Network (BNN) method with variations in learning rate values. This study produces the best test at a learning rate of 0.1 with an error percentage of 2%. The results of the classification calculation of the area of brain hemorrhage and analysis of image quality in classifying stroke brain with an accuracy level of 27/3 x 100% = 90%.

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Section: Introductionmentioning

confidence: 99%

Analysis and Improvement of CT-Scan/MRI Medical Image Quality in Stroke Patients with Hybrid Thresholding Method: A Case Study in Padang BMC Hospital

Sumijan¹,

Purnama²

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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Ethical and Safety Considerations in Nanomaterial Use

Kaur,

Thakur,

Thakur

et al. 2024

Sustainability, Safety, and Applications of Nanomaterials-Based Corrosion Inhibitors

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This chapter explores the ethical and safety dimensions of employing nanomaterials. Delving into the intricate interplay between technological advancements and responsible practices, it scrutinizes potential risks associated with nanomaterial applications. Addressing concerns regarding toxicity, environmental impact, and human health, the chapter navigates through regulatory frameworks and ethical guidelines. Emphasizing the need for transparent communication, it advocates for a balanced approach that fosters innovation while safeguarding societal well-being. The chapter serves as a comprehensive guide for researchers, policymakers, and stakeholders navigating the evolving landscape of nanotechnology, promoting a responsible and ethically sound integration of nanomaterials into diverse domains

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RETRACTED: Research on nano-CT medical image processing based on embedded system

Cited by 2 publications

References 2 publications

Analysis and Improvement of CT-Scan/MRI Medical Image Quality in Stroke Patients with Hybrid Thresholding Method: A Case Study in Padang BMC Hospital

Analysis and Improvement of CT-Scan/MRI Medical Image Quality in Stroke Patients with Hybrid Thresholding Method: A Case Study in Padang BMC Hospital

Ethical and Safety Considerations in Nanomaterial Use

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