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Medical image segmentation: hard and soft computing approaches
2020
SN Applied Sciences
Segmentation divides an image into discrete provinces containing pieces of pixels with analogous attributes. To be expressive and useful for image analysis and interpretation, the regions should strongly relate to depicted objects or features of interest. Different soft computing and hard computing methods are used for medical image segmentation for efficient accuracy. These are computing methods where hard computing is the conventional methodology, which relies on the principles of accuracy,
doi:10.1007/s42452-020-1956-4
fatcat:qosggz567vgi3jyuuhmlwdtedu