14 November 2007 New coarse region segmentation used in computer-aided diagnosis of liver cancer from ultrasound images
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Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67890K (2007); doi: 10.1117/12.748340
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper a coarse region segmentation of liver cancer in ultrasound Images is introduced. The reason employing coarse region segmentation is to reflect the inhomogeneous distribution of the image gray levels and provide the features such as the distribution, shape and size of the suspect region of liver cancer. Then combine with the prior knowledge we can divide the image into three different classes, which the results of the analysis of the region's location can be used by a classifier in a multilayer classifier. Furthermore, the result of the coarse region segmentation will support the texture analysis for further classification. The segmentation is based on watershed algorithm in order to receive an integrated region and two processing techniques are adopted to avoid the over segmentation of watershed algorithm.
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Xiaoyue Huang, Mingyue Ding, "New coarse region segmentation used in computer-aided diagnosis of liver cancer from ultrasound images", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890K (14 November 2007); doi: 10.1117/12.748340; https://doi.org/10.1117/12.748340
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KEYWORDS
Image segmentation

Tumors

Image processing algorithms and systems

Image processing

Liver cancer

Ultrasonography

Speckle

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