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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| Format: | Book Section |
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Penerbit UTM
2007
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| _version_ | 1796855352525848576 |
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| author | Ahmed, M. Masroor Mohamad, Dzuldifli |
| author_facet | Ahmed, M. Masroor Mohamad, Dzuldifli |
| author_sort | Ahmed, M. Masroor |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T18:27:21Z |
| format | Book Section |
| id | utm.eprints-14172 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:27:21Z |
| publishDate | 2007 |
| publisher | Penerbit UTM |
| record_format | dspace |
| spelling | utm.eprints-141722011-08-18T09:24:31Z http://eprints.utm.my/14172/ Tissues segmentation of brain MR Image by utilizing artificial neural network Ahmed, M. Masroor Mohamad, Dzuldifli QA75 Electronic computers. Computer science 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. Penerbit UTM 2007 Book Section PeerReviewed Ahmed, M. Masroor and Mohamad, Dzuldifli (2007) Tissues segmentation of brain MR Image by utilizing artificial neural network. In: Advances in image processing and pattern recognition: algorithms & practice. Penerbit UTM , Johor, 155-164 . ISBN 978-983-52-0621-4 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmed, M. Masroor Mohamad, Dzuldifli Tissues segmentation of brain MR Image by utilizing artificial neural network |
| title | Tissues segmentation of brain MR Image by utilizing artificial neural network |
| title_full | Tissues segmentation of brain MR Image by utilizing artificial neural network |
| title_fullStr | Tissues segmentation of brain MR Image by utilizing artificial neural network |
| title_full_unstemmed | Tissues segmentation of brain MR Image by utilizing artificial neural network |
| title_short | Tissues segmentation of brain MR Image by utilizing artificial neural network |
| title_sort | tissues segmentation of brain mr image by utilizing artificial neural network |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT ahmedmmasroor tissuessegmentationofbrainmrimagebyutilizingartificialneuralnetwork AT mohamaddzuldifli tissuessegmentationofbrainmrimagebyutilizingartificialneuralnetwork |