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- W2348120994 abstract "Objective To study the effect and application of the algorithm for medical image enhancement based on visual neural model. Methods The medical image was processed by the image enhancement algorithm based on visual neuron ON-OFF model. The automatic enhancement for medical image was realized. The effect of passive decay rate constant gain coefficient and space surround constant were analyzed. Results The T1W sequential MR imaging of 1 patient with left frontal glioma and CTA imaging of 1 patient with orbital and frontoparietal angioma were processed by imaging enhancement algorithm. As a result the MR and CTA images of intracranial structure and the tumor were more clear and easy to study. Conclusion After processing and calculating of a great deal of medical images,it demonstrates the better enhancement effect of images can be achieved by selecting of optimal passive decay rate constant,gain coefficient and space surround constant." @default.
- W2348120994 created "2016-06-24" @default.
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- W2348120994 date "2006-01-01" @default.
- W2348120994 modified "2023-09-25" @default.
- W2348120994 title "Medical image enhancement based on neural dynamics" @default.
- W2348120994 hasPublicationYear "2006" @default.
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