2nd International Conference on Materials Science and Sustainable Manufacturing Technology
Detection of Poikilocytosis using Segmentation based Approach
N. Gayathri, Abi Sankar S, Deepan Kumar S, Akilan R and Fayaz A, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
Detecting a sickle cell manually is not an impossible job but it is a tedious one where the image processing is applied. It involves the analysis of cells by detecting the cells to identify the disease for proper treatment. We can make accurate detection of sickle cells by conducting a proper segmentation of such cells. Since we are dealing with the structural framework of the cell morphology which plays a crucial part in separating sickle cells from healthy blood cells and they differ from each other by structural integrity. This will substantially speed up the segregation and identification of sickle cells in healthy human blood cells. Standard validation strategies are adopted to improve the performance and yield of various methods. The methodology and techniques used in this paper are investigated and analyzed through this model.
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Cite this article
N. Gayathri, Abi Sankar S, Deepan Kumar S, Akilan R and Fayaz A, “Detection of Poikilocytosis using Segmentation based Approach”, Advances in Computational Intelligence in Materials Science, pp. 163-168, May. 2023. doi:10.53759/acims/978-9914-9946-9-8_25
