Abstract

In the domain of medical imaging, Computer Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT) and rest of the other modes of medical images which will reflects human data from different views. We use medical images in radiography for diagnosis, clinical observations and in many other treatments. In this paper, we explored diverse medical imaging methods utilized for diagnosis of breast cancer, includes X-Ray mammography, MRI etc. we analyzed their adequacy, points of interest and weaknesses for distinguishing beginning time of breast cancer. Further we studied image fusion, a technique to expel the redundant information from the original medical images along with medical factors UIOQ, fusion factor, entropy etc. Be that as it may, from visual point of view, images that are fused gives better results than fuzzy systems. We further extended by investigating the medical tools to increase the speed and to enhance the study and analysis of medical images. The tools simulate the complete work, done by the human observations with numerous predefined components integrated in the software. However, protection software's or medical tools are challenging issue, since the tools provide content are routine in nature. We concluded our paper with few image encryption mechanisms along with their functionality.

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