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The theoretical framework presented in this article explains expert performance as the end result of individuals ' prolonged efforts to improve performance while negotiating motivational and external constraints. In most domains of expertise, individuals begin in their childhood a regimen of effortful activities (deliberate practice) designed to optimize improvement. Individual differences, even among elite performers, are closely related to assessed amounts of deliberate practice. Many characteristics once believed to reflect innate talent are actually the result of intense practice extended for a minimum of 10 years. Analysis of expert performance provides unique evidence on the potential and limits of extreme environmental adaptation and learning. Our civilization has always recognized exceptional individuals, whose performance in sports, the arts, and science is vastly superior to that of the rest of the population. Speculations on the causes of these individuals ' extraordinary abilities and performance are as old as the first records of their achievements. Early accounts commonly attribute these individuals' outstanding performance to divine intervention, such as the

We previously developed a scheme to automatically detect pulmonary nodules on CT images, as a part of computer-aided diagnosis (CAD) system. The proposed method consisted of two template-matching approaches based on simple models that simulate real nodules. One was a new template-matching technique

Optimal image feature set for detecting lung nodules on chest

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This paper presents a method to apply the general image retrieval algorithm on chest radiographs using quasi- Gabor filter. The lung field is extracted to limit the region to be processed using knowledge based lung field extraction method and the rib shadow is reduced to emphasis the lung texture .

We define ordered subset processing for standard algorithms (such as Expectation Maximization, EM) for image restoration from projections. Ordered subsets methods group projection data into an ordered sequence of subsets (or blocks). An iteration of ordered subsets EM is defined as a single pass

committee members Hsiao-Chun Wu and Bahadir K. Gunturk. I would like to thank Neil Mauldin for providing us with the X-rays used in this study. I also would like to thank Maura Egan and Ryan DeVille for helping me with the X-ray images. I would like to express my gratitude towards my parents and sister

Abstract—An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a

Summary Interpretation of the paediatric chest x-ray may appear intimidating at f|rst, but knowledge of a fewbasic rules and anunderstanding of how the radiographic appearance may be influenced by age and technique will help the clinician arrive at the correctdiagnosis inmany cases. A structured