Medical Image Segmentation Assessment

computer application

Image segmentation is a very censorious task in image analysis and image processing. And image segmentation is the most important process for providing depiction, fantasy, and characterization of different zones in any medical image. So, it is important to find the different methods and techniques for segmenting the medical images that may provide the best result. In this paper, we would see the crucial place of segmentation in medical images for best decision making. As there are different techniques for segmentation, Clustering-based segmentation, Threshold-based segmentation, Kernel based segmentation, Edge based segmentation, Mathematical segmentation, and CNN which play an important role in segmenting medical images. Otsu thresholding method is implemented for diabetic retina eye with 96% accuracy. We would see a proper difference between the techniques used by different researchers.

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