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ICSAP
2010

An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing

14 years 3 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phase, the MRI brain image is acquired from patients database, In that film artifact and noise are removed. After that Hierarchical Self Organizing Map (HSOM) is applied for image segmentation. The HSOM is the extension of the conventional self organizing map used to classify the image row by row. In this lowest level of weight vector, a higher value of tumor pixels, computation speed is achieved by the HSOM with vector quantization.
T. Logeswari, M. Karnan
Added 18 Aug 2010
Updated 18 Aug 2010
Type Conference
Year 2010
Where ICSAP
Authors T. Logeswari, M. Karnan
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