Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Skin Lesion"”.
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Genetic Susceptibility to Arsenic Exposure and Arsenical Skin Lesion Prevalence in Bangladesh
… evaluated genetic susceptibility to arsenical skin lesions based on single nucleotide polymorphisms (SNPs) in antioxidant enzyme or DNA repair genes. Utilizing cross-sectional data from the 2000-2002 survey of the Health Effects of Arsenic Longitudinal Study (HEALS) for 610 prevalent arsenical …
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A Parametric Method of Perspective Alignment and Color Correction for Skin Lesion Imaging
… of Perspective Alignment and Color Correction on Skin Lesion Imaging</p> <p>Jian Xu</p> <p>This thesis investigates the employment of a parametric and fiducial-based perspective alignment method, and a color correction method in the context of digital skin lesion imaging. Specifically, the thesis …
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Segmenting Skin Lesion Attributes in Dermoscopic Images Using Deep Learing Algorithm for Melanoma Detection
Melanoma is the most deadly form of skin cancer worldwide, which causes the 75% of deaths related to skin cancer. National Cancer Institute estimated that 91,270 new case and 9,320 deaths are expected in 2018 caused by melanoma. Early detection of melanoma is the key for the treatment. The image …
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Clinical-view versus ELM: an investigation into image types in the context of skin lesion screening
Melanoma, the most serious form of skin cancer, is increasing in incidence in countries with predominantly white skinned populations. Automated tools have been proposed to help detect this most visible of cancers. Current automated systems for detecting melanoma analyse images of skin lesions for …
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Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions
… causes more deaths than any other form of skin cancer. Early melanoma detection is important to prevent progression to a more deadly stage. Automated computer-based identification of melanoma from dermoscopic images of skin lesions is the most efficient method in early diagnosis. An …
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Dermoscopy in general practice: insights for clinical use and training
The incidence of skin cancers of all types continue to rise across many highly developed countries including the UK and Ireland. This includes melanoma, the most dangerous form of skin cancer due to its propensity for early metastasis. Key to its successful management is early recognition and …
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Automatic 3D surface area measurement for vitiligo lesions
Vitiligo is a long term skin depigmentation disease that may result in psychological stress. Monitoring changes in vitiligo lesion area allows assessment of treatment efficacy and aids in clinical decision making. Currently existing approaches for vitiligo lesion measurement are either inefficient …
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Automatic detection of lesion border and edge-related structures in dermoscopy images
… system, line structure identification and lesion border identification algorithms are important for accuracy of diagnosis. This work presents the methodology and procedures to process dermoscopy images using computer vision and data mining methods. A watershed-based adaptive skin lesion …
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Computer aided analysis of skin lesions
Effective screening to detect the skin cancer accurately in the early stage is essential for reducing the mortality of skin cancer. Surface features, such as texture and pigmentation area from the surface, epi-illumination images of the skin lesions have been well correlated to detect skin cancer. …
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Food Intake and Physical Activity Assessment of Native American Children with Acanthosis Nigricans and their Friends
<p>Acanthosis nigricans is a hyperplastic skin lesion found to be highly prevalent among Native Americans. The age of onset of acanthosis nigricans closely parallels the onset of obesity among Winnebago/Omaha children. The combination of obesity with acanthosis nigricans is a key sign of high risk …
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Machine learning methodologies for high dimensional biomedical & bioinformatics applications
… image preprocessing and registration method for skin lesion classification problems. For the third project on microbiome analysis, we discuss two works that have been done. First, we propose an analysis pipeline that implements the random forest model to identify food intake, along with a …
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Predictors of Re-Hospitalization for Home Healthcare Patients
… or secondary diagnosis of diabetes and an open skin lesion or wound. The OASIS variables examined in the logistic regression model that showed significance as predictors of acute care re-hospitalization included a diagnosis of diabetes, overall prognosis, rehabilitation prognosis, existing …
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Nterleukin-4 responsive dendritic, macrophage/neutrophil cells are dispensable for host resistance against Leishmania Mexicana infection in mice
… L. mexicana promastigotes in the footpad, and skin lesion progression was measured, and the clinical phenotype was evaluated by investigating both humoral and cellular immune responses. Mouse strains had similar footpad lesion progression, parasite loads, humoral responses, expansion of CD4+ …
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Computer Aided Diagnosis Systems for Digital Analysis of Osteosarcoma and Skin Cancer
… and (2) AlgoDerm: Deep Learning Framework for Skin Lesion Analysis and Tracking. Osteosarcoma is a type of bone cancer in children with an estimated 400-900 new cases each year in the United States. The current treatment plan for osteosarcoma involves a histopathology analysis after ten weeks …
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Cloning and expression of a functionally active truncated N-glycosylated KSHV complement regulatory protein and immunohistochemical studies with the anti-KCP peptide antibody
… system. Kaposi's sarcoma is an angiogenic skin lesion that has been recognized as one of the most abundant tumours found in many parts of Southern Africa and which can occasionally become highly invasive, aggressive and capable of causing death, particularly amongst AIDS patients. It is of …
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The application of Artificial Intelligence (AI) to the triage of suspicious skin lesions and the detection of skin cancer in primary care clinical settings
… Intelligence (AI) to the triage of suspicious skin lesions and the detection of skin cancer in primary care clinical settings Background Skin cancers, including melanoma and the keratinocyte carcinomas (Basal Cell Carcinomas and Squamous Cell Carcinomas) are the most common cancers worldwide …
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AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION
If detected early, skin cancer has a 95-100% successful treatment rate; therefore early detection is crucial and several computer-aided methods have been developed to assist dermatologists. In skin images removing hairs without altering the lesion is important to effectively apply detection …
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Characterizing the epidemiology of ophidiomycosis in North American snakes through field studies, modeling, pathogen genomic analysis, and treatment trials
… encounter surveys and visually inspected for skin lesions suggestive of ophidiomycosis, then a body swab was collected to detect the presence of O. ophidiicola using qPCR. Each snake was assigned to an ophidiomycosis category based on the presence of skin lesions and O. ophidiicola. Logistic …