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Provedor de dados:  InTech
País:  N/A
Título:  Application on Reinforcement Learning for Diagnosis Based on Medical Image
Autores:  Stelmo Magalhaes Barros Netto
Vanessa Rodrigues Coelho Leite
Aristofanes Correa Silva
Anselmo Cardoso de Paiva
Areolino de Almeida Neto
Data:  2008-01-01
Ano:  2008
Palavras-chave:  Reinforcement Learning
Resumo:  This work presents an overview of current work applying reinforcement learning in medical image applications, presenting a detailed illustration of a particular use for lung nodules classification. The addressed application of reinforcement learning to solve the problem of lung nodules classification used the 3D geometric nodules characteristics to guide the classification. Even though the results are preliminary we may see that the obtained results are very encouraging, demonstrating that the reinforcement learning classifier using characteristics of the nodules’ geometry can effectively classify benign from malignant lung nodules based on CT images. On the other side, we may observe that this is a machine learning that is not commonly applied to medical images and this is an opportunity for more intensive investment in the research for this area. But some problems are well known in this application and must be more studied. We should research how to find out a way to shorter the training phase, while maintaining the learning quality. And also must be improved the tests to generate more definitive results and to make possible the comparison with other classifiers.
Tipo:  20
Idioma:  Inglês
Identificador:  http://www.intechopen.com/articles/show/title/application_on_reinforcement_learning_for_diagnosis_based_on_medical_image
Editor:  INTECH Open Access Publisher
Relação:  ISBN:978-3-902613-14-1
Fonte:  http://www.intechopen.com/download/pdf/pdfs_id/689
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