Application of intelligent computational models on computed tomography lung images
With computed tomography (CT) scanners, hundreds of slices are generated to visualize the condition of lung per patient. The analysis on slices-by-slices dataset is time-consuming for radiologists. Therefore, automated identification of abnormalities on CT lung images is vital to assist the radiolog...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
International Center for Scientific Research and Studies
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/44745/ |
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