Tissues segmentation of brain MR Image by utilizing artificial neural network
The anatomical structure of human brain is very complex. For diagnosing the presence of certain possible pathology, some times the surgeons have to navigate through each and every pixel to ascertain its possible association with a specific group of tissues. Due to the volume of MRIs because of i...
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| Main Authors: | , |
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| Format: | Book Section |
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Penerbit UTM
2007
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/14172/ |
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| Summary: | The anatomical structure of human brain is very complex. For diagnosing the presence of certain possible pathology, some times the surgeons have to navigate through each and every pixel to ascertain its possible association with a specific group of tissues. Due to the volume of MRIs because of its various views i.e. coronal, axial and sagital, practically, it is extremely difficult to carryout human visual inspection for deciding about the health of brain. Therefore, an efficient automatic system is need of the hour to perform this job with the highest possible degree of reliability and accuracy. This chapter discusses the use of Artificial Neural Network (ANN) for the segmentation of brain MR images. |
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