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A Survey on Image Segmentation Techniques for Medical Images


Affiliations
1 RVS College of Engg. &Technology, ECE Department, Coimbatore, India
2 Department of ECE, Nehru Institute of Engineering and Technology, Coimbatore, India
     

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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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  • A Survey on Image Segmentation Techniques for Medical Images

Abstract Views: 182  |  PDF Views: 3

Authors

A. Rajendran
RVS College of Engg. &Technology, ECE Department, Coimbatore, India
R. Dhanasekaran
Department of ECE, Nehru Institute of Engineering and Technology, Coimbatore, India

Abstract


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.