image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

introduction:in this study, ecg signals have been embedded into medical images to create a novel blind watermarking method. the embedding is done when the original image is compressed using the ezw algorithm. the extraction process is performed at the decompression time of the watermarked image. materials and methods: the multi-resolution watermarking with a secret key algorithm developed in th...

although, most of the abnormal structures of human brain do not alter the shape of outer envelope of brain (surface), some abnormalities can deform the surface extensively. however, this may be a major problem in a surface-based registration technique, since two nearly identical surfaces are required for surface fitting process. a type of verification known as the circularity check for the shap...

recently, as the result of the development in modern imaging, computerized three dimensional data processing and advanced engineering techniques, an prosthesis that match the skeletal anatomy can be accurately designed from computer aided design (cad) technique and the physical model of prosthesis or skull replica can be produced through rapid prototyping (rp), rapid tooling (rt), and computer ...

background: role of information source, perceived benefits and risks, and destination image has significantly been examined in travel and tourism literature; however, in medical tourism it is yet to be examined thoroughly. the concept discussed in this article is drawn form well established models in tourism literature. methods: the purpose of this research was to identify the source of informa...

improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. partial differential equations (pdes)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. in t...