Volume 10 Issue 1 - March 2018

  • 1. Comparative analysis of white blood cell segmentation techniques for leukemia detection

    Authors : Prof. Snehal V. Laddha

    Pages : 138-141

    DOI : http://dx.doi.org/10.21172/1.101.22

    Keywords : White blood cells, Segmentation, leukemia, microscopic images, cancer

    Abstract :

    Leukemia is a type of blood cancer that usually begins in the bone marrow and result in high numbers of abnormal white blood cells in human. The amount and condition of WBC are the two important features that play a significant role in the diagnosis of blood cancer detection, and therefore for hematologists extracting information about WBC play an important role. The accuracy of white blood cells analysis is dependent on the segmentation of objects of microscopic images as blood cells are of different sizes, shapes, colors and largely overlapped on each other. In past, many researchers have done work of segmentation of white blood cells but still accurate segmentation and blood cell counting is a major challenge. The main objective of this paper is to perform analysis of segmentation techniques involved related to white blood cells to achieve maximum accuracy.

    Citing this Journal Article :

    Prof. Snehal V. Laddha, "Comparative analysis of white blood cell segmentation techniques for leukemia detection", https://www.ijltet.org/journal_details.php?id=928&j_id=4391, Volume 10 Issue 1 - March 2018, 138-141, #ijltetorg