A brain tumor is a mass of cells in your brain that are not normal.Some brain tumors contain cancer and others don't: Brain tumor include both, benign and malignant forms. Benign brain tumors don't have cancer cells. Malignant brain tumors have cancer cells. Differentiating malignant and benign cases is a hard task even for experienced specialists. This work presents how to extract the characteristics and features of tumor image by general segmentation methods for malignant risk computation and presents the use of digital watermarking for applications of automated tumor image analysis. Here personal information such as name, age, gender, location, ADHAAR number, contact number etc., and tumor information such as tumor types, area of the tumor, severity, and any other useful information are embedded to the tumor image. Encrypting that image with well-known encryption algorithms is also possible to avoid unnecessary nuisance from information hackers.
HMS have emerged as an approach towards FMS to respond to the erratic market trends and consumer demands. To implement HMS, in control systems, is the Holonic Component Based Architecture (HCBA). It is a combined form of Component Based Development (CBD) and HMS. CBD is basically a programming approach in which a problem is solved by a solution that consists of many modules instead of a monolithic module. It very close to OOP, but is an improvement over it. This paper explains the approach of HMS and the concept of Holonic Component Based Architecture. Some variations have also been proposed in the existing structure of HCBA. Merits and de-merits of HMS in the present scenario have been discussed.
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