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Full-Text Articles in Medicine and Health Sciences
Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian
Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian
Theses and Dissertations (ETD)
Purpose and Rationale. Central nervous system manifestations form a significant burden of disease in young children. There have been efforts to correlate the neurological disease state in tuberous sclerosis complex (TSC) neurological disease state with imaging findings is a standard part of patient care. However, such analysis of neuroimaging is time- and labor-intensive. Automated approaches to these tasks are needed to improve speed, accuracy, and availability. Automated medical image analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis …
A Study Into The Diagnosis Of Obesity In Infants Less Than Two Years Old In The State Of Virginia, Lindsay Ann Bruno
A Study Into The Diagnosis Of Obesity In Infants Less Than Two Years Old In The State Of Virginia, Lindsay Ann Bruno
Senior Honors Projects, 2010-2019
In 2007, the CDC reported approximately 12.5 million children and adolescents in the U.S. were obese. Among 24-month old clinically obese children, only 23% were diagnosed as obese. The most concerning is the prevalence of obesity in 6-month olds; 16% of 6-month old infants in the U.S. are obese, of which only 14% are diagnosed as being obese. Previous research concentrates on the factors that influence infant obesity, but does not address the prevalence of diagnosing obesity in children, particularly those under two years of age. The purpose of this project was to pioneer a survey exploring the prevalence of …