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The main objective of this paper is to present an analytical method to detect lesions (cysts) in digitized MRI data. Segmentation techniques are applied on different sequences of MRI images (T1&T2) which helps to differentiate between malignant region from normal region in the given original image. The abnormal part is captured in the JPEG format. The segmentation of the image is then used to...
The area of video process pertaining to analysis of the real-time object behaviour is increasing in its pace. However, such process is also accompanied by various critical challenges e.g. variation in illumination condition, complete or partial occlusion, and uncertain mobility of the object. Although, in the last decades there has been archives of research papers discussing about the object detection,...
The number of people surviving in older age is more. This is mainly due to the developments that have taken place in the field of medicine. Theseold people are prone to many age related diseases. There are numerous neuro degenerative brain related diseases. Dementia is one among them. The people affected by Dementia will have lapse of memory. Alzheimer's disease is one of the types of dementia. Diagnosis...
An important approach for describing a region is to quantify its structure content. In this paper, the use of functions for computing texture based on statistical measures is described. Six textural features for mammogram images are defined. The segmentation based on these textures would classify the breast tissue under four categories. The algorithm evaluates the region properties of the mammogram...
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