Enhancing information hiding and segmentation for medical images using novel steganography and clustering fusion techniques
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In recent years, there has been rapid development in digital medical imaging. The continuous development of medical imaging is expected to make further contributions to healthcare systems, where the increased use of medical imaging in a variety of clinical settings has played an important role in improving health services. The main objective of the research presented in this thesis is to investigate digital image steganography and segmentation in order to offer a systematic way for designing and developing them, with a particular concentration on medical imaging security and magnetic resonance (MR) brain image segmentation.
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