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Biomedical Engineering and Bioengineering Commons™
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- Deep Learning (2)
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Articles 1 - 7 of 7
Full-Text Articles in Biomedical Engineering and Bioengineering
Image-Based Cancer Diagnosis Using Novel Deep Neural Networks, Hosein Barzekar
Image-Based Cancer Diagnosis Using Novel Deep Neural Networks, Hosein Barzekar
Theses and Dissertations
Cancer is the major cause of death in many nations. This serious illness can only be effectivelytreated if it is diagnosed early. In contrast, biomedical imaging presents challenges to both clinical institutions and researchers. Physiological anomalies are often characterized by modest modifications in individual cells or tissues, making them difficult to detect visually. Physiological anomalies are often characterized by slight abnormalities in individual cells or tissues, making them difficult to detect visually. Traditionally, anomalies are diagnosed by radiologists and pathologists with extensive training. This procedure, however, demands the participation of professionals and incurs a substantial expense, making the classification of …
Medical Image Segmentation Using Machine Learning, Masoud Khani
Medical Image Segmentation Using Machine Learning, Masoud Khani
Theses and Dissertations
Image segmentation is the most crucial step in image processing and analysis. It can divide an image into meaningfully descriptive components or pathological structures. The result of the image division helps analyze images and classify objects. Therefore, getting the most accurate segmented image is essential, especially in medical images. Segmentation methods can be divided into three categories: manual, semiautomatic, and automatic. Manual is the most general and straightforward approach. Manual segmentation is not only time-consuming but also is imprecise. However, automatic image segmentation techniques, such as thresholding and edge detection, are not accurate in the presence of artifacts like noise …
Patients’ Needs And Preferences Regarding Radiology Test Results On Patient Portals, Mansour Abdulaziz Almanaa
Patients’ Needs And Preferences Regarding Radiology Test Results On Patient Portals, Mansour Abdulaziz Almanaa
Theses and Dissertations
Introduction and significance: Radiology exams are an important part of health care. To enhance the quality of health care, health care services need to be delivered in ways that meet patients’ needs and preferences. Patients were found to be interested in the timely receipt of radiology test results. One of the easiest and fastest ways to deliver radiology test results to patients is via online patient portals. It seems, however, that the method of providing radiology test results through patient portals has not reached its full maturity; it still needs a great deal of improvement. Therefore, participation of the end-readers …
Sensitivity Analysis Of Geometry Changes In The Simulation Of Basilar Aneurysms, Paul Eserkaln
Sensitivity Analysis Of Geometry Changes In The Simulation Of Basilar Aneurysms, Paul Eserkaln
Theses and Dissertations
Computer simulation is a useful tool in the research and treatment of basilar aneurysms. Current technology allows researchers to create 3D models from cerebral vasculature in-vivo, allowing for the investigation of surgical options with minimal risk to the patient. The method used to construct these models overlooks smaller lateral arterial branches which are difficult to discern due to resolution limits of the imaging process. These lateral branches have minimal impact on the overall blood flow through the basilar artery, but they play a significant role in the health of the patient, so it is important to ensure sufficient blood will …
Quantitative Optical Studies Of Oxidative Stress In Rodent Models Of Eye And Lung Injuries, Zahra Ghanian
Quantitative Optical Studies Of Oxidative Stress In Rodent Models Of Eye And Lung Injuries, Zahra Ghanian
Theses and Dissertations
Optical imaging techniques have emerged as essential tools for reliable assessment of organ structure, biochemistry, and metabolic function. The recognition of metabolic markers for disease diagnosis has rekindled significant interest in the development of optical methods to measure the metabolism of the organ.
The objective of my research was to employ optical imaging tools and to implement signal and image processing techniques capable of quantifying cellular metabolism for the diagnosis of diseases in human organs such as eyes and lungs. To accomplish this goal, three different tools, cryoimager, fluorescent microscope, and optical coherence tomography system were utilized to study the …
The Effectiveness, Efficiency, And Appeal Of Pediatric Echocardiography Protocol Training For First Year Pediatric Cardiology Fellows, Lynne M. Brown
The Effectiveness, Efficiency, And Appeal Of Pediatric Echocardiography Protocol Training For First Year Pediatric Cardiology Fellows, Lynne M. Brown
Theses and Dissertations
Echocardiography training for pediatric cardiology fellows is complex and academic hospitals strive to provide high-quality training using limited resources. The purpose of this embedded single case study design was to evaluate the effectiveness, efficiency, and appeal of a newly developed 10-day echocardiography protocol learning module for first year pediatric cardiology fellows. Using blended learning methods that included didactic lectures, online learning activities, and interactive games, the learning module was the first step in the process of training pediatric cardiology fellows to perform echocardiograms independently with limited supervision during their first year of fellowship. At the end of the 10-day module, …
Spectral And Temporal Interrogation Of Cerebral Hemodynamics Via High Speed Laser Speckle Contrast Imaging, Rex Chin-Hao Chen
Spectral And Temporal Interrogation Of Cerebral Hemodynamics Via High Speed Laser Speckle Contrast Imaging, Rex Chin-Hao Chen
Theses and Dissertations
Laser Speckle Contrast Imaging (LSCI) is a non-scanning wide field-of-view optical imaging technique specifically developed for cerebral blood flow (CBF) monitoring. In this project, a versatile Laser speckle contrast imaging system has been designed and developed to monitor CBF changes and examine the physical properties of cerebral vasculature during functional brain activation experiments.
The hardware of the system consists of a high speed CMOS camera, a coherent light source, a trinocular microscope, and a PC that does camera controlling and data storage. The simplicity of the system’s hardware makes it suitable for biological experiments.
In controlled flow experiments using a …