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This paper is an application of medical image processing. Multimodality medical images are widely used nowadays for disease diagnosis. The CT/PET medical images are used in this paper for the segmentation of liver anomalies. The preprocessing was done by median filter and the segmentation was performed by binary tree quantization algorithm. The binary tree quantization algorithm produces better results...
Information Technology advances have bought forth new challenges in healthcare information management, due to the vast amount of medical data that needs to efficiently stored, retrieved and distributed, and the increased security threats that explicitly have to be addressed. In particular, embedding patient information into a medical image through data hiding could improve the level of security and...
Breast cancer is one of the leading causes of women death in the world. Since the causes are unknown, breast cancer cannot be prevented. Micro calcifications are the earliest signs of breast cancer and their detection is one of the most important research areas now. A novel approach for image segmentation of denser mammography images is introduced, for more accurate detection of microcalcifications...
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