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1.
Simul Healthc ; 2(1): 43-4, 2007.
Artigo em Inglês | MEDLINE | ID: mdl-19088609

RESUMO

Stanford University Medical Media and Information Technologies's technical workshop "Prototyping of Surgical Simulators using Open Source Simulation Software" was held in August 2006 at Stanford University. The objectives, program, and topics covered are presented in this short report.


Assuntos
Educação , Sistemas de Informação , Procedimentos Cirúrgicos Operatórios/educação , Universidades , California , Ensino/métodos
2.
IEEE Trans Inf Technol Biomed ; 10(2): 302-11, 2006 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-16617619

RESUMO

Chest radiography is one of the most widely used techniques in diagnostic imaging. It comprises at least one-third of all diagnostic radiographic procedures in hospitals. However, in the picture archive and communication system, images are often stored with the projection and orientation unknown or mislabeled, which causes inefficiency for radiologists' interpretation. To address this problem, an automatic hanging protocol for chest radiographs is presented. The method targets the most effective region in a chest radiograph, and extracts a set of size-, rotation-, and translation-invariant features from it. Then, a well-trained classifier is used to recognize the projection. The orientation of the radiograph is later identified by locating the neck, heart, and abdomen positions in the radiographs. Initial experiments are performed on the radiographs collected from daily routine chest exams in hospitals and show promising results. Using the presented protocol, 98.2% of all cases could be hung correctly on projection view (without protocol, 62%), and 96.1% had correct orientation (without protocol, 75%). A workflow study on the protocol also demonstrates a significant improvement in efficiency for image display.


Assuntos
Inteligência Artificial , Sistemas de Gerenciamento de Base de Dados , Armazenamento e Recuperação da Informação/métodos , Reconhecimento Automatizado de Padrão/métodos , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Radiografia Torácica/métodos , Sistemas de Informação em Radiologia , Algoritmos , Teorema de Bayes , Humanos
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