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A Survey on Image Segmentation Techniques for Medical Images
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Image segmentation is one of the primary steps in image analysis for object identification. The main aim is to recognise homogeneous regions within an image as distinct and belonging to different objects Image segmentation plays a crucial role in many medical imaging applications by automating or facilitating the delineation of anatomical structures and other regions of interest. We present herein a critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images. We conclude with a discussion on the future of image segmentation methods in biomedical research.
Keywords
Medical Imaging, Classification, Deformable Models, Magnetic Resonance Imaging.
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