1 October 2011 A segmentation algorithm of intracranial hemorrhage CT image
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82856Q (2011) https://doi.org/10.1117/12.913497
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
To develop a computer aided detection (CAD) system that improves diagnostic accuracy of intracranial hemorrhage on cerebral CT. A method for CT image segmentation of brain is proposed, with which, several regions that are suspicious of hemorrhage can be segmented rapidly and effectively. Extracting intracranial area algorithm is introduced firstly to extract intracranial area. Secondly, FCM is employed twice, we named it with TFCM. FCM is first employed to identify areas of intracranial hemorrhage. Finally, FCM is employed to segment the lesions. Experimental results on real medical images demonstrate the efficiency and effectiveness.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haibo Wang, Haibo Wang, Zhiguo Chen, Zhiguo Chen, Jianzhi Wang, Jianzhi Wang, } "A segmentation algorithm of intracranial hemorrhage CT image", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82856Q (1 October 2011); doi: 10.1117/12.913497; https://doi.org/10.1117/12.913497
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