A. Dinesh Kumar

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Segmentation of cell nuclei and cytoplasm is an important task in most of the medical images. Microscopic cell image analysis is the fundamental tool for biological research. Visual inspection of cellular images is often insufficient to detect and describe the important changes in cellular morphology. In this paper, the cell segmentation approach uses the(More)
Image segmentation in conventional learning approaches, the consumer applies only labeled or unlabelled training data set. The advanced application of segmentation in semi supervised learning to build better understanding of learners such a way that user could able to use both labeled data and un labeled data. In this research work focus to multi image(More)
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